# Vercel AI Gateway Supported Providers and Models

> List of all 329 models available through the [Vercel AI Gateway](https://vercel.com/ai-gateway).
> For API documentation, see https://vercel.com/docs/ai-gateway

| Model | Type | Context | Input | Output | Providers | Tags |
|-------|------|---------|-------|--------|-----------|------|
| alibaba/qwen-3-32b | chat | 128K | $0.10/1M | $0.30/1M | bedrock, alibaba, deepinfra | reasoning, tool-use |
| alibaba/qwen3-coder-30b-a3b | chat | 262.1K | $0.15/1M | $0.60/1M | bedrock, novita | tool-use |
| alibaba/qwen3-max-thinking | chat | 256K | $1.20/1M | $6.00/1M | alibaba | reasoning, tool-use |
| alibaba/qwen3-vl-235b-a22b-instruct | chat | 262.1K | $0.20/1M | $0.88/1M | deepinfra, alibaba | tool-use, vision |
| alibaba/qwen3.5-flash | chat | 1M | $0.10/1M | $0.40/1M | alibaba | vision, file-input, reasoning, tool-use |
| alibaba/qwen3.5-plus | chat | 1M | $0.40/1M | $2.40/1M | alibaba | vision, file-input, reasoning, tool-use |
| alibaba/qwen3.6-27b | chat | 256K | $0.60/1M | $3.60/1M | alibaba | reasoning, tool-use, file-input, vision |
| alibaba/qwen-3.6-max-preview | chat | 240K | $1.30/1M | $7.80/1M | alibaba | reasoning, tool-use |
| alibaba/qwen3.6-plus | chat | 1M | $0.50/1M | $3.00/1M | alibaba, togetherai | reasoning, tool-use, vision, file-input |
| alibaba/qwen3.7-flash | chat | 991K | $0.03/1M | $0.13/1M | alibaba | reasoning, tool-use, implicit-caching, file-input, vision |
| alibaba/qwen3.7-max | chat | 991K | $2.50/1M | $7.50/1M | alibaba | implicit-caching, reasoning, tool-use |
| alibaba/qwen3.7-plus | chat | 1M | $0.40/1M | $1.60/1M | alibaba, fireworks | reasoning, tool-use, implicit-caching, file-input, vision |
| alibaba/qwen3.8-max | chat | 1M | $2.00/1M | $6.00/1M | alibaba | reasoning, tool-use, implicit-caching, vision |
| alibaba/qwen-3-235b | chat | 262.1K | $0.09/1M | $0.10/1M | deepinfra, vertex, novita | tool-use |
| alibaba/qwen3-235b-a22b-thinking | chat | 262.1K | $0.23/1M | $2.30/1M | novita, deepinfra, alibaba | reasoning, tool-use, vision |
| alibaba/qwen3-coder | chat | 262.1K | $0.22/1M | $1.80/1M | deepinfra, novita, vertex, alibaba | implicit-caching, tool-use |
| alibaba/qwen3-coder-next | chat | 256K | $0.50/1M | $1.20/1M | bedrock | tool-use |
| alibaba/qwen3-coder-plus | chat | 1M | $1.00/1M | $5.00/1M | alibaba | implicit-caching, tool-use |
| alibaba/qwen3-embedding-0.6b | embedding | 32.8K | $0.01/1M | $0.00/1M | deepinfra |  |
| alibaba/qwen3-embedding-4b | embedding | 32.8K | $0.02/1M | $0.00/1M | deepinfra |  |
| alibaba/qwen3-embedding-8b | embedding | 41K | $0.05/1M | $0.00/1M | deepinfra, nebius |  |
| alibaba/qwen3-max | chat | 262.1K | $1.20/1M | $6.00/1M | alibaba, novita | tool-use, implicit-caching |
| alibaba/qwen3-max-preview | chat | 262.1K | $1.20/1M | $6.00/1M | alibaba | tool-use, implicit-caching |
| alibaba/qwen3-next-80b-a3b-instruct | chat | 262.1K | $0.15/1M | $1.20/1M | alibaba, novita, vertex, deepinfra | tool-use |
| alibaba/qwen3-next-80b-a3b-thinking | chat | 262.1K | $0.15/1M | $1.20/1M | alibaba, vertex | reasoning, tool-use |
| alibaba/qwen3-vl-instruct | chat | 262.1K | $0.20/1M | $0.88/1M | alibaba, novita, deepinfra | tool-use, vision |
| alibaba/qwen3-vl-thinking | chat | 131.1K | $0.40/1M | $3.95/1M | alibaba, novita | vision, reasoning, tool-use, file-input |
| alibaba/qwen-3-14b | chat | 41.0K | $0.12/1M | $0.24/1M | deepinfra | reasoning, tool-use |
| alibaba/qwen-3-30b | chat | 41.0K | $0.12/1M | $0.50/1M | deepinfra | reasoning, tool-use |
| alibaba/qwen3.8-2.4t-a95b | chat | 262.1K | $1.65/1M | $4.95/1M | deepinfra, fireworks, gmicloud, novita | reasoning, tool-use, implicit-caching |
| alibaba/wan-v2.5-t2v-preview | video | 0 | $0.00/1M | $0.00/1M | alibaba | text-to-video |
| alibaba/wan-v2.6-i2v | video | 0 | $0.00/1M | $0.00/1M | alibaba | image-to-video |
| alibaba/wan-v2.6-i2v-flash | video | 0 | $0.00/1M | $0.00/1M | alibaba | image-to-video |
| alibaba/wan-v2.6-r2v | video | 0 | $0.00/1M | $0.00/1M | alibaba | reference-to-video |
| alibaba/wan-v2.6-r2v-flash | video | 0 | $0.00/1M | $0.00/1M | alibaba | reference-to-video |
| alibaba/wan-v2.6-t2v | video | 0 | $0.00/1M | $0.00/1M | alibaba | text-to-video |
| alibaba/wan-v2.7-r2v | video | 0 | $0.00/1M | $0.00/1M | alibaba | reference-to-video |
| alibaba/wan-v2.7-t2v | video | 0 | $0.00/1M | $0.00/1M | alibaba | text-to-video |
| amazon/nova-2-lite | chat | 1M | $0.30/1M | $2.50/1M | bedrock | file-input, reasoning, tool-use, vision |
| amazon/nova-lite | chat | 300K | $0.06/1M | $0.24/1M | bedrock | file-input, tool-use, vision |
| amazon/nova-micro | chat | 128K | $0.04/1M | $0.14/1M | bedrock | tool-use |
| amazon/nova-pro | chat | 300K | $0.80/1M | $3.20/1M | bedrock | file-input, tool-use, vision |
| amazon/titan-embed-text-v2 | embedding | 0 | $0.02/1M | $0.00/1M | bedrock |  |
| anthropic/claude-3-haiku | chat | 200K | $0.25/1M | $1.25/1M | bedrock, vertexAnthropic | tool-use, vision, explicit-caching |
| anthropic/claude-fable-5 | chat | 1M | $10.00/1M | $50.00/1M | anthropic, bedrock, vertexAnthropic | reasoning, tool-use, explicit-caching, file-input, vision |
| anthropic/claude-haiku-4.5 | chat | 200K | $1.00/1M | $5.00/1M | anthropic, bedrock, vertexAnthropic, claudeaws | explicit-caching, file-input, reasoning, tool-use, vision, web-search |
| anthropic/claude-opus-4 | chat | 200K | $15.00/1M | $75.00/1M | vertexAnthropic | file-input, reasoning, tool-use, vision, explicit-caching |
| anthropic/claude-opus-4.5 | chat | 200K | $5.00/1M | $25.00/1M | anthropic, bedrock, vertexAnthropic | explicit-caching, file-input, reasoning, tool-use, vision, web-search |
| anthropic/claude-opus-4.6 | chat | 1M | $5.00/1M | $25.00/1M | anthropic, bedrock, vertexAnthropic | tool-use, reasoning, vision, file-input, explicit-caching, web-search |
| anthropic/claude-opus-4.7 | chat | 1M | $5.00/1M | $25.00/1M | anthropic, bedrock, vertexAnthropic | tool-use, reasoning, vision, file-input, explicit-caching, web-search |
| anthropic/claude-opus-4.8 | chat | 1M | $5.00/1M | $25.00/1M | anthropic, bedrock, vertexAnthropic, claudeaws | tool-use, reasoning, vision, file-input, explicit-caching, web-search, fast |
| anthropic/claude-opus-5 | chat | 1M | $5.00/1M | $25.00/1M | anthropic, bedrock, vertexAnthropic, claudeaws | tool-use, reasoning, vision, file-input, explicit-caching, web-search, fast |
| anthropic/claude-sonnet-4 | chat | 1M | $3.00/1M | $15.00/1M | bedrock, vertexAnthropic | file-input, reasoning, tool-use, vision, explicit-caching |
| anthropic/claude-sonnet-4.5 | chat | 1M | $3.00/1M | $15.00/1M | anthropic, bedrock, vertexAnthropic | explicit-caching, file-input, reasoning, tool-use, vision, web-search |
| anthropic/claude-sonnet-4.6 | chat | 1M | $3.00/1M | $15.00/1M | anthropic, vertexAnthropic, bedrock, claudeaws | file-input, reasoning, tool-use, vision, explicit-caching, web-search |
| anthropic/claude-sonnet-5 | chat | 1M | $2.00/1M | $10.00/1M | anthropic, vertexAnthropic, bedrock, claudeaws | reasoning, tool-use, explicit-caching, file-input, vision, web-search |
| arcee-ai/trinity-large-thinking | chat | 262.1K | $0.25/1M | $0.90/1M | arcee-ai | reasoning, tool-use |
| arcee-ai/trinity-mini | chat | 131.1K | $0.04/1M | $0.15/1M | arcee-ai | tool-use |
| bfl/flux-3-video | video | 0 | $0.00/1M | $0.00/1M | bfl | video-generation, text-to-video, image-to-video, video-editing |
| bfl/flux-pro-1.0-fill | image | 0 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-kontext-max | image | 512 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-kontext-pro | image | 512 | $0.00/1M | $0.00/1M | bfl, prodia | image-generation |
| bfl/flux-2-flex | image | 0 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-2-klein-4b | image | 0 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-2-klein-9b | image | 0 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-2-max | image | 67.3K | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-2-pro | image | 67.3K | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-pro-1.1 | image | 0 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bfl/flux-pro-1.1-ultra | image | 0 | $0.00/1M | $0.00/1M | bfl | image-generation |
| bytedance/seed-1.8 | chat | 256K | $0.25/1M | $2.00/1M | bytedance | reasoning, tool-use, vision |
| bytedance/seed-1.6 | chat | 256K | $0.25/1M | $2.00/1M | bytedance | reasoning, tool-use, vision |
| bytedance/seedance-2.0 | video | 0 | $0.00/1M | $0.00/1M | bytedance | video-generation, vision, image-to-video, text-to-video, reference-to-video |
| bytedance/seedance-2.0-fast | video | 0 | $0.00/1M | $0.00/1M | bytedance | vision, video-generation, text-to-video, image-to-video, reference-to-video |
| bytedance/seedance-2.5 | video | 0 | $0.00/1M | $0.00/1M | bytedance | video-generation |
| bytedance/seedance-v1.0-pro | video | 0 | $0.00/1M | $0.00/1M | bytedance | video-generation, text-to-video |
| bytedance/seedance-v1.0-pro-fast | video | 0 | $0.00/1M | $0.00/1M | bytedance | video-generation, text-to-video |
| bytedance/seedance-v1.5-pro | video | 0 | $0.00/1M | $0.00/1M | bytedance | video-generation, text-to-video |
| bytedance/seedream-4.0 | image | 0 | $0.00/1M | $0.00/1M | bytedance | image-generation |
| bytedance/seedream-4.5 | image | 0 | $0.00/1M | $0.00/1M | bytedance | image-generation |
| bytedance/seedream-5.0-lite | image | 0 | $0.00/1M | $0.00/1M | bytedance | image-generation |
| bytedance/seedream-5.0-pro | image | 0 | $0.00/1M | $0.00/1M | bytedance | image-generation |
| cohere/rerank-v3.5 | reranking | 4.1K | $0.00/1M | $0.00/1M | bedrock | reranking |
| cohere/rerank-v4-fast | reranking | 32K | $0.00/1M | $0.00/1M | cohere | reranking |
| cohere/rerank-v4-pro | reranking | 32K | $0.00/1M | $0.00/1M | cohere | reranking |
| cohere/command-a | chat | 256K | $2.50/1M | $10.00/1M | cohere | tool-use |
| cohere/embed-v4.0 | embedding | 128K | $0.12/1M | $0.00/1M | cohere, bedrock |  |
| deepseek/deepseek-r1 | chat | 160K | $1.35/1M | $5.40/1M | deepinfra, bedrock | implicit-caching, reasoning, tool-use |
| deepseek/deepseek-v3 | chat | 163.8K | $0.27/1M | $1.12/1M | novita | tool-use |
| deepseek/deepseek-v3.1 | chat | 163.8K | $0.25/1M | $0.95/1M | deepinfra, novita, sambanova | implicit-caching, reasoning, tool-use |
| deepseek/deepseek-v3.1-terminus | chat | 131.1K | $0.27/1M | $1.00/1M | novita | implicit-caching, reasoning, tool-use |
| deepseek/deepseek-v3.2 | chat | 163.8K | $0.28/1M | $0.42/1M | deepseek, deepinfra, novita, bedrock | tool-use, implicit-caching |
| deepseek/deepseek-v3.2-thinking | chat | 163.8K | $0.26/1M | $0.38/1M | novita, bedrock, deepinfra | implicit-caching, reasoning, tool-use |
| deepseek/deepseek-v4-flash | chat | 1.0M | $0.09/1M | $0.18/1M | digitalocean, deepseek, novita, deepinfra, fireworks, azure, alibaba, baseten, wafer, gmicloud | reasoning, tool-use, implicit-caching |
| deepseek/deepseek-v4-flash-0731 | chat | 1.0M | $0.08/1M | $0.15/1M | fireworks, deepseek, baseten, deepinfra, novita, alibaba, wafer, runware, gmicloud | reasoning, tool-use, implicit-caching |
| deepseek/deepseek-v4-pro | chat | 1.0M | $0.43/1M | $0.87/1M | deepseek, fireworks, novita, deepinfra, baseten, togetherai, azure, alibaba | reasoning, tool-use, implicit-caching |
| deepseek/deepseek-v4-pro-0813 | chat | 1M | $0.43/1M | $0.87/1M | deepseek, baseten | reasoning, tool-use, implicit-caching |
| fish-audio/s1 | speech | 0 | $15.00/1M | $0.00/1M | fish-audio |  |
| fish-audio/s2-pro | speech | 0 | $15.00/1M | $0.00/1M | fish-audio |  |
| fish-audio/s2.1-pro | speech | 0 | $15.00/1M | $0.00/1M | fish-audio |  |
| fish-audio/transcribe-1 | transcription | 0 | $0.00/1M | $0.00/1M | fish-audio |  |
| google/gemini-2.5-flash | chat | 1M | $0.30/1M | $2.50/1M | vertex, google | file-input, reasoning, tool-use, vision, web-search, implicit-caching |
| google/gemini-2.5-flash-lite | chat | 1.0M | $0.10/1M | $0.40/1M | vertex, google | file-input, reasoning, tool-use, vision, web-search, implicit-caching |
| google/gemini-2.5-flash-preview-09-2025 | chat | 1M | $0.30/1M | $2.50/1M | google | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| google/gemini-2.5-pro | chat | 1.0M | $1.25/1M | $10.00/1M | vertex, google | file-input, reasoning, tool-use, vision, web-search, tiered-cost, implicit-caching |
| google/gemini-3-flash | chat | 1M | $0.50/1M | $3.00/1M | vertex, google | reasoning, tool-use, file-input, vision, web-search, tiered-cost, implicit-caching |
| google/gemini-3.1-flash-image | chat | 131.1K | $0.50/1M | $3.00/1M | vertex, google | image-generation, reasoning, vision, web-search |
| google/gemini-3.1-flash-image-preview | chat | 131.1K | $0.50/1M | $3.00/1M | google | image-generation, implicit-caching, reasoning, vision, web-search |
| google/gemini-3.1-flash-lite | chat | 1M | $0.25/1M | $1.50/1M | google, vertex | reasoning, tool-use, implicit-caching, file-input, vision, web-search |
| google/gemini-3.1-flash-lite-image | chat | 65.5K | $0.25/1M | $1.50/1M | google, vertex | image-generation, implicit-caching, reasoning, vision, web-search |
| google/gemini-3.1-pro-preview | chat | 1M | $2.00/1M | $12.00/1M | google, vertex | file-input, tool-use, reasoning, vision, web-search, tiered-cost, implicit-caching |
| google/gemini-3.5-flash | chat | 1M | $1.50/1M | $9.00/1M | google, vertex | reasoning, file-input, vision, tool-use, web-search, implicit-caching, video-input |
| google/gemini-3.5-flash-lite | chat | 1M | $0.30/1M | $2.50/1M | google, vertex | reasoning, tool-use, implicit-caching, file-input, vision, web-search, video-input |
| google/gemini-3.6-flash | chat | 1M | $1.50/1M | $7.50/1M | vertex, google | reasoning, file-input, tool-use, vision, implicit-caching, web-search, video-input |
| google/gemini-3.7-flash | chat | 1M | $0.75/1M | $3.75/1M | google, vertex | reasoning, file-input, vision, tool-use, web-search, implicit-caching, video-input |
| google/gemini-embedding-001 | embedding | 0 | $0.15/1M | $0.00/1M | google, vertex |  |
| google/gemini-embedding-2 | embedding | 0 | $0.20/1M | $0.00/1M | google |  |
| google/gemini-omni-flash-preview | chat | 1M | $1.50/1M | $9.00/1M | vertex, google | file-input, reasoning, vision, video-generation |
| google/gemma-4-26b-a4b-it | chat | 1.0M | $0.13/1M | $0.40/1M | novita, parasail, vertex, gmicloud | file-input, reasoning, tool-use, vision |
| google/gemma-4-31b-it | chat | 1.0M | $0.14/1M | $0.40/1M | novita, parasail, togetherai, cerebras, friendli, gmicloud | file-input, reasoning, tool-use, vision |
| google/imagen-4.0-generate-001 | image | 480 | $0.00/1M | $0.00/1M | vertex | image-generation |
| google/imagen-4.0-fast-generate-001 | image | 480 | $0.00/1M | $0.00/1M | vertex | image-generation |
| google/imagen-4.0-ultra-generate-001 | image | 480 | $0.00/1M | $0.00/1M | vertex | image-generation |
| google/gemini-2.5-flash-image | chat | 32.8K | $0.30/1M | $2.50/1M | google, vertex | image-generation, web-search, vision |
| google/gemini-3-pro-image | chat | 65.5K | $2.00/1M | $12.00/1M | google, vertex | image-generation, web-search, implicit-caching, vision |
| google/text-embedding-005 | embedding | 0 | $0.03/1M | $0.00/1M | vertex |  |
| google/text-multilingual-embedding-002 | embedding | 0 | $0.03/1M | $0.00/1M | vertex |  |
| google/veo-3.0-generate-001 | video | 0 | $0.00/1M | $0.00/1M | vertex | text-to-video, image-to-video |
| google/veo-3.0-fast-generate-001 | video | 0 | $0.00/1M | $0.00/1M | vertex | video-generation |
| google/veo-3.1-generate-001 | video | 0 | $0.00/1M | $0.00/1M | vertex | text-to-video, image-to-video |
| google/veo-3.1-fast-generate-001 | video | 0 | $0.00/1M | $0.00/1M | vertex | text-to-video, image-to-video |
| google/veo-3.1-lite-generate-001 | video | 0 | $0.00/1M | $0.00/1M | vertex | text-to-video |
| inception/mercury-2 | chat | 128K | $0.25/1M | $0.75/1M | inception | reasoning, tool-use |
| inception/mercury-coder-small | chat | 32K | $0.25/1M | $1.00/1M | inception | tool-use |
| inclusionai/ling-3.0-flash | chat | 256K | $0.06/1M | $0.18/1M | novita | reasoning, tool-use, implicit-caching |
| interfaze/interfaze-beta | chat | 1M | $1.50/1M | $3.50/1M | interfaze | file-input, reasoning, tool-use, vision |
| klingai/kling-v2.5-turbo-i2v | video | 0 | $0.00/1M | $0.00/1M | klingai | image-to-video, audio-generation |
| klingai/kling-v2.5-turbo-t2v | video | 0 | $0.00/1M | $0.00/1M | klingai | text-to-video, audio-generation |
| klingai/kling-v2.6-i2v | video | 0 | $0.00/1M | $0.00/1M | klingai | image-to-video, audio-generation |
| klingai/kling-v2.6-motion-control | video | 0 | $0.00/1M | $0.00/1M | klingai | motion-control |
| klingai/kling-v2.6-t2v | video | 0 | $0.00/1M | $0.00/1M | klingai | text-to-video, audio-generation |
| klingai/kling-v3.0-i2v | video | 0 | $0.00/1M | $0.00/1M | klingai | image-to-video, multi-shot, audio-generation |
| klingai/kling-v3.0-motion-control | video | 0 | $0.00/1M | $0.00/1M | klingai | video-generation, motion-control |
| klingai/kling-v3.0-t2v | video | 0 | $0.00/1M | $0.00/1M | klingai | text-to-video, multi-shot, audio-generation |
| kwaipilot/kat-coder-air-v2.5 | chat | 256K | $0.15/1M | $0.60/1M | streamlake | reasoning, tool-use, implicit-caching, vision |
| kwaipilot/kat-coder-pro-v2 | chat | 256K | $0.30/1M | $1.20/1M | streamlake | tool-use, reasoning, implicit-caching |
| kwaipilot/kat-coder-pro-v2.5 | chat | 256K | $0.74/1M | $2.96/1M | streamlake | reasoning, tool-use, implicit-caching, vision |
| kwaipilot/kat-coder-pro-v1 | chat | 256K | $0.30/1M | $1.20/1M | novita | tool-use |
| meta/llama-3.1-70b | chat | 131.1K | $0.72/1M | $0.72/1M | bedrock, deepinfra | tool-use |
| meta/llama-3.1-8b | chat | 131.1K | $0.02/1M | $0.05/1M | bedrock, deepinfra, novita | tool-use |
| meta/llama-3.3-70b | chat | 128K | $0.72/1M | $0.72/1M | bedrock | tool-use |
| meta/llama-4-maverick | chat | 131.1K | $0.24/1M | $0.97/1M | deepinfra, bedrock | tool-use, vision |
| meta/llama-4-scout | chat | 131.1K | $0.17/1M | $0.66/1M | deepinfra, bedrock | tool-use, vision |
| meta/muse-glimmer-30b | chat | 131.1K | $0.35/1M | $1.50/1M | togetherai | vision, implicit-caching, reasoning, tool-use |
| meta/muse-spark-1.1 | chat | 1.0M | $1.25/1M | $4.25/1M | meta | reasoning, tool-use, implicit-caching, file-input, vision |
| meta/muse-spark-1.2 | chat | 1.0M | $1.25/1M | $4.25/1M | meta | reasoning, tool-use, implicit-caching, file-input, vision |
| meta/muse-spark-1.2-contributor | chat | 1.0M | $0.10/1M | $0.20/1M | meta | reasoning, tool-use, implicit-caching, file-input, vision |
| minimax/minimax-h3 | video | 0 | $0.00/1M | $0.00/1M | minimax | video-generation, image-to-video, text-to-video, reference-to-video, vision |
| minimax/minimax-m2 | chat | 205K | $0.30/1M | $1.20/1M | minimax, novita | reasoning, tool-use |
| minimax/minimax-m2.1 | chat | 204.8K | $0.30/1M | $1.20/1M | minimax, novita, bedrock | reasoning, tool-use, implicit-caching |
| minimax/minimax-m2.1-lightning | chat | 204.8K | $0.30/1M | $2.40/1M | minimax | reasoning, tool-use, implicit-caching |
| minimax/minimax-m2.5 | chat | 1M | $0.27/1M | $0.95/1M | minimax, nebius, parasail, deepinfra, bedrock | reasoning, tool-use, implicit-caching |
| minimax/minimax-m2.5-highspeed | chat | 204.8K | $0.60/1M | $2.40/1M | minimax, novita | reasoning, tool-use, implicit-caching |
| minimax/minimax-m2.7 | chat | 204.8K | $0.30/1M | $1.20/1M | fireworks, minimax, novita | tool-use, reasoning, implicit-caching |
| minimax/minimax-m2.7-highspeed | chat | 204.8K | $0.60/1M | $2.40/1M | minimax | reasoning, tool-use, implicit-caching |
| minimax/minimax-m3 | chat | 1.0M | $0.30/1M | $1.20/1M | minimax, fireworks, nebius | implicit-caching, reasoning, tool-use, vision |
| mistral/codestral-embed | embedding | 0 | $0.15/1M | $0.00/1M | mistral |  |
| mistral/devstral-2 | chat | 256K | $0.40/1M | $2.00/1M | mistral | tool-use |
| mistral/devstral-small-2 | chat | 256K | $0.10/1M | $0.30/1M | mistral | tool-use, vision |
| mistral/magistral-medium | chat | 128K | $2.00/1M | $5.00/1M | mistral | reasoning, tool-use, vision |
| mistral/magistral-small | chat | 128K | $0.50/1M | $1.50/1M | mistral | reasoning, tool-use, vision |
| mistral/ministral-14b | chat | 256K | $0.20/1M | $0.20/1M | mistral | file-input, tool-use, vision |
| mistral/ministral-3b | chat | 128K | $0.10/1M | $0.10/1M | mistral | tool-use, vision |
| mistral/ministral-8b | chat | 128K | $0.15/1M | $0.15/1M | mistral | tool-use, vision |
| mistral/codestral | chat | 128K | $0.30/1M | $0.90/1M | mistral | tool-use |
| mistral/mistral-embed | embedding | 0 | $0.10/1M | $0.00/1M | mistral |  |
| mistral/mistral-large-3 | chat | 256K | $0.50/1M | $1.50/1M | mistral | tool-use, vision |
| mistral/mistral-medium | chat | 128K | $0.40/1M | $2.00/1M | mistral | tool-use, vision |
| mistral/mistral-medium-3.5 | chat | 256K | $1.50/1M | $7.50/1M | mistral | reasoning, tool-use, vision |
| mistral/mistral-nemo | chat | 131.1K | $0.15/1M | $0.15/1M | novita, mistral, deepinfra | tool-use |
| mistral/mistral-small | chat | 32K | $0.10/1M | $0.30/1M | mistral | tool-use, vision |
| mistral/pixtral-12b | chat | 128K | $0.15/1M | $0.15/1M | mistral | tool-use, vision |
| moonshotai/kimi-k2 | chat | 131.1K | $0.57/1M | $2.30/1M | novita | tool-use |
| moonshotai/kimi-k2-thinking | chat | 216.1K | $0.47/1M | $2.00/1M | deepinfra | reasoning, tool-use, implicit-caching |
| moonshotai/kimi-k2.5 | chat | 262.1K | $0.60/1M | $3.00/1M | moonshotai, novita, bedrock | reasoning, vision, tool-use, implicit-caching, video-input |
| moonshotai/kimi-k2.6 | chat | 262.1K | $0.95/1M | $4.00/1M | moonshotai, fireworks, novita, baseten, togetherai | implicit-caching, reasoning, tool-use, vision, video-input |
| moonshotai/kimi-k2.7-code | chat | 262.1K | $0.74/1M | $3.50/1M | moonshotai, deepinfra, fireworks, baseten | reasoning, tool-use, implicit-caching, file-input, vision, video-input |
| moonshotai/kimi-k2.7-code-highspeed | chat | 262.1K | $1.90/1M | $8.00/1M | moonshotai, fireworks | reasoning, tool-use, vision, file-input, implicit-caching, video-input |
| moonshotai/kimi-k3 | chat | 1.0M | $2.90/1M | $14.00/1M | moonshotai, fireworks, baseten, morph, nebius, togetherai, digitalocean | reasoning, tool-use, implicit-caching, file-input, vision, video-input |
| moonshotai/kimi-k3-fast | chat | 1M | $4.50/1M | $22.50/1M | fireworks, morph, wafer | reasoning, tool-use, implicit-caching, file-input, vision |
| morph/morph-v3-fast | chat | 81.9K | $0.80/1M | $1.20/1M | morph |  |
| morph/morph-v3-large | chat | 81.9K | $0.90/1M | $1.90/1M | morph |  |
| nvidia/nemotron-3-nano-30b-a3b | chat | 262.1K | $0.05/1M | $0.24/1M | deepinfra | reasoning, tool-use |
| nvidia/nemotron-3-ultra-550b-a55b | chat | 1M | $0.50/1M | $2.40/1M | togetherai, deepinfra, baseten | reasoning, tool-use, implicit-caching |
| nvidia/nemotron-3-super-120b-a12b | chat | 256K | $0.15/1M | $0.65/1M | bedrock | reasoning, tool-use |
| nvidia/nemotron-nano-12b-v2-vl | chat | 131.1K | $0.20/1M | $0.60/1M | deepinfra, bedrock | reasoning, tool-use, vision |
| nvidia/nemotron-nano-9b-v2 | chat | 131.1K | $0.06/1M | $0.23/1M | bedrock, deepinfra | reasoning, tool-use |
| openai/gpt-4o-mini-search-preview | chat | 128K | $0.15/1M | $0.60/1M | openai | web-search |
| openai/gpt-5.1-codex-max | chat | 400K | $1.25/1M | $10.00/1M | azure | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5.1-codex-mini | chat | 400K | $0.25/1M | $2.00/1M | azure | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5.1-thinking | chat | 400K | $1.25/1M | $10.00/1M | openai, azure | tool-use, implicit-caching, file-input, reasoning, vision, web-search, fast |
| openai/gpt-5.2 | chat | 400K | $1.75/1M | $14.00/1M | azure, openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search, websockets |
| openai/gpt-5.2-pro | chat | 400K | $21.00/1M | $168.00/1M | openai | tool-use, vision, reasoning, file-input, web-search |
| openai/gpt-5.2-codex | chat | 400K | $1.75/1M | $14.00/1M | azure | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5.3-codex | chat | 400K | $1.75/1M | $14.00/1M | openai, azure | reasoning, tool-use, file-input, vision, web-search, implicit-caching, fast, websockets |
| openai/gpt-5.4 | chat | 1.1M | $2.50/1M | $15.00/1M | openai, azure | reasoning, tool-use, vision, file-input, implicit-caching, web-search, fast, websockets |
| openai/gpt-5.4-mini | chat | 400K | $0.75/1M | $4.50/1M | openai, azure | reasoning, tool-use, vision, file-input, implicit-caching, web-search, fast, websockets |
| openai/gpt-5.4-nano | chat | 400K | $0.20/1M | $1.25/1M | openai, azure | reasoning, tool-use, implicit-caching, web-search, vision, file-input, websockets |
| openai/gpt-5.4-pro | chat | 1.1M | $30.00/1M | $180.00/1M | openai, azure | reasoning, tool-use, vision, file-input, web-search |
| openai/gpt-5.5 | chat | 1M | $5.00/1M | $30.00/1M | openai, azure, bedrock | file-input, implicit-caching, reasoning, tool-use, vision, web-search, fast, websockets |
| openai/gpt-5.5-pro | chat | 1M | $30.00/1M | $180.00/1M | openai | reasoning, tool-use, file-input, web-search, vision, websockets |
| openai/gpt-5.6-luna | chat | 1.1M | $0.20/1M | $1.20/1M | openai, azure, bedrock | reasoning, file-input, tool-use, vision, implicit-caching, web-search, fast, websockets |
| openai/gpt-5.6-sol | chat | 1.1M | $5.00/1M | $30.00/1M | openai, azure, bedrock | reasoning, tool-use, implicit-caching, file-input, vision, web-search, fast, websockets |
| openai/gpt-5.6-terra | chat | 1.1M | $2.00/1M | $12.00/1M | openai, azure, bedrock | reasoning, web-search, file-input, tool-use, vision, implicit-caching, fast, websockets |
| openai/gpt-image-1 | image | 0 | $5.00/1M | $40.00/1M | openai | image-generation, implicit-caching |
| openai/gpt-image-1-mini | image | 0 | $2.00/1M | $8.00/1M | openai | image-generation, implicit-caching |
| openai/gpt-image-1.5 | image | 0 | $5.00/1M | $32.00/1M | openai | image-generation, implicit-caching |
| openai/gpt-image-2 | image | 0 | $5.00/1M | $30.00/1M | openai | image-generation, implicit-caching |
| openai/gpt-oss-120b | chat | 131.1K | $0.35/1M | $0.75/1M | baseten, bedrock, fireworks, groq, parasail, nebius, togetherai, cerebras | reasoning, tool-use |
| openai/gpt-oss-20b | chat | 131.1K | $0.07/1M | $0.30/1M | bedrock, fireworks, groq, deepinfra, togetherai, novita, parasail | reasoning, tool-use |
| openai/gpt-oss-safeguard-20b | chat | 131.1K | $0.07/1M | $0.30/1M | groq | implicit-caching, reasoning, tool-use |
| openai/gpt-3.5-turbo | chat | 16.4K | $0.50/1M | $1.50/1M | openai | tool-use |
| openai/gpt-4-turbo | chat | 128K | $10.00/1M | $30.00/1M | openai | tool-use, vision |
| openai/gpt-4.1 | chat | 1.0M | $2.00/1M | $8.00/1M | azure, openai | file-input, implicit-caching, tool-use, vision, web-search |
| openai/gpt-4.1-mini | chat | 1.0M | $0.40/1M | $1.60/1M | azure, openai | file-input, implicit-caching, tool-use, vision, web-search |
| openai/gpt-4.1-nano | chat | 1.0M | $0.10/1M | $0.40/1M | azure, openai | file-input, implicit-caching, tool-use, vision, web-search |
| openai/gpt-4o | chat | 128K | $2.50/1M | $10.00/1M | azure, openai | file-input, implicit-caching, tool-use, vision, web-search |
| openai/gpt-4o-mini | chat | 128K | $0.15/1M | $0.60/1M | azure, openai | file-input, implicit-caching, tool-use, vision, web-search |
| openai/gpt-4o-mini-transcribe | transcription | 0 | $1.25/1M | $5.00/1M | openai |  |
| openai/gpt-4o-transcribe | transcription | 0 | $2.50/1M | $10.00/1M | openai |  |
| openai/gpt-5 | chat | 400K | $1.25/1M | $10.00/1M | azure, openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5-mini | chat | 400K | $0.25/1M | $2.00/1M | azure, openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5-nano | chat | 400K | $0.05/1M | $0.40/1M | azure, openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5-pro | chat | 400K | $15.00/1M | $120.00/1M | openai | file-input, reasoning, tool-use, vision, web-search |
| openai/gpt-5-codex | chat | 400K | $1.25/1M | $10.00/1M | azure | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-5.1-codex | chat | 400K | $1.25/1M | $10.00/1M | azure | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/gpt-realtime-mini | realtime | 0 | $0.60/1M | $2.40/1M | openai |  |
| openai/gpt-realtime-1.5 | realtime | 0 | $4.00/1M | $16.00/1M | openai |  |
| openai/gpt-realtime-2 | realtime | 0 | $4.00/1M | $24.00/1M | openai | websockets |
| openai/gpt-realtime-2.1 | realtime | 128K | $4.00/1M | $24.00/1M | openai |  |
| openai/gpt-realtime-whisper | transcription | 0 | $0.00/1M | $0.00/1M | openai | websockets |
| openai/o1 | chat | 200K | $15.00/1M | $60.00/1M | azure, openai | file-input, reasoning, tool-use, vision, implicit-caching |
| openai/o3 | chat | 200K | $2.00/1M | $8.00/1M | openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search, fast |
| openai/o3-pro | chat | 200K | $20.00/1M | $80.00/1M | openai | reasoning, vision, file-input, tool-use, web-search |
| openai/o3-deep-research | chat | 200K | $10.00/1M | $40.00/1M | openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/o3-mini | chat | 200K | $1.10/1M | $4.40/1M | azure, openai | implicit-caching, reasoning, tool-use |
| openai/o4-mini | chat | 200K | $1.10/1M | $4.40/1M | azure, openai | file-input, implicit-caching, reasoning, tool-use, vision, web-search |
| openai/text-embedding-3-large | embedding | 0 | $0.13/1M | $0.00/1M | azure, openai |  |
| openai/text-embedding-3-small | embedding | 0 | $0.02/1M | $0.00/1M | azure, openai |  |
| openai/text-embedding-ada-002 | embedding | 0 | $0.10/1M | $0.00/1M | azure, openai |  |
| openai/tts-1 | speech | 0 | $15.00/1M | $0.00/1M | openai | speech |
| openai/tts-1-hd | speech | 0 | $30.00/1M | $0.00/1M | openai | speech |
| openai/whisper-1 | transcription | 0 | $0.00/1M | $0.00/1M | openai | translation, transcription |
| perplexity/pplx-embed-v1-0.6b | embedding | 32K | $0.00/1M | $0.00/1M | perplexity |  |
| perplexity/pplx-embed-v1-4b | embedding | 32K | $0.03/1M | $0.00/1M | perplexity |  |
| perplexity/sonar | chat | 127K | $0.00/1M | $0.00/1M | perplexity | vision, web-search |
| perplexity/sonar-pro | chat | 200K | $0.00/1M | $0.00/1M | perplexity | vision, web-search |
| perplexity/sonar-reasoning-pro | chat | 127K | $0.00/1M | $0.00/1M | perplexity | reasoning, web-search, vision |
| poolside/laguna-s-2.1 | chat | 1M | $0.10/1M | $0.20/1M | poolside | reasoning, tool-use |
| poolside/laguna-s-2.1-free | chat | 256K | $0.00/1M | $0.00/1M | poolside | reasoning, tool-use, free |
| prodia/flux-fast-schnell | image | 512 | $0.00/1M | $0.00/1M | prodia | image-generation |
| quiverai/arrow-1.1 | image | 131.1K | $0.00/1M | $0.00/1M | quiverai | image-generation |
| recraft/recraft-v2 | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v3 | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v4 | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v4-pro | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v4.1 | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v4.1-pro | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v4.1-utility | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| recraft/recraft-v4.1-utility-pro | image | 0 | $0.00/1M | $0.00/1M | recraft | image-generation |
| sakana/fugu-ultra | chat | 1M | $5.00/1M | $30.00/1M | sakana | vision, tool-use, reasoning |
| sakana/namazu | chat | 256K | $0.95/1M | $4.00/1M | sakana | vision, file-input, implicit-caching, reasoning, structured-output, tool-use, web-search |
| stepfun/step-3.7-flash | chat | 256K | $0.20/1M | $1.15/1M | stepfun | implicit-caching, reasoning, tool-use, vision |
| stepfun/step-3.5-flash | chat | 262.1K | $0.09/1M | $0.30/1M | deepinfra | reasoning, tool-use, implicit-caching, vision |
| tencent/hy3 | chat | 262.1K | $0.14/1M | $0.58/1M | deepinfra, novita |  |
| thinkingmachines/inkling | chat | 262.1K | $1.00/1M | $4.05/1M | baseten, togetherai, modal | reasoning, tool-use, vision, file-input |
| thinkingmachines/inkling-small | chat | 1M | $0.50/1M | $1.20/1M | baseten, deepinfra, togetherai | reasoning, tool-use, vision, file-input, implicit-caching |
| voyage/voyage-3.5 | embedding | 0 | $0.06/1M | $0.00/1M | voyage |  |
| voyage/voyage-3.5-lite | embedding | 0 | $0.02/1M | $0.00/1M | voyage |  |
| voyage/voyage-4 | embedding | 32K | $0.06/1M | $0.00/1M | voyage |  |
| voyage/voyage-4-large | embedding | 32K | $0.12/1M | $0.00/1M | voyage |  |
| voyage/voyage-4-lite | embedding | 32K | $0.02/1M | $0.00/1M | voyage |  |
| voyage/voyage-code-2 | embedding | 0 | $0.12/1M | $0.00/1M | voyage |  |
| voyage/voyage-code-3 | embedding | 0 | $0.18/1M | $0.00/1M | voyage |  |
| voyage/voyage-finance-2 | embedding | 0 | $0.12/1M | $0.00/1M | voyage |  |
| voyage/voyage-law-2 | embedding | 0 | $0.12/1M | $0.00/1M | voyage |  |
| voyage/rerank-2.5 | reranking | 32K | $0.05/1M | $0.00/1M | voyage | reranking |
| voyage/rerank-2.5-lite | reranking | 32K | $0.02/1M | $0.00/1M | voyage | reranking |
| voyage/voyage-3-large | embedding | 0 | $0.18/1M | $0.00/1M | voyage |  |
| xai/grok-4.1-fast-non-reasoning | chat | 1M | $0.20/1M | $0.50/1M | vertex | tool-use, file-input, vision, implicit-caching |
| xai/grok-4.1-fast-reasoning | chat | 1M | $0.20/1M | $0.50/1M | vertex | reasoning, file-input, vision, tool-use, implicit-caching |
| xai/grok-4.20-non-reasoning-beta | chat | 2M | $1.25/1M | $2.50/1M | xai | tool-use, implicit-caching, vision, file-input, web-search |
| xai/grok-4.20-reasoning-beta | chat | 2M | $1.25/1M | $2.50/1M | xai | reasoning, tool-use, vision, file-input, implicit-caching, web-search |
| xai/grok-4.20-multi-agent-beta | chat | 2M | $1.25/1M | $2.50/1M | xai | reasoning, tool-use, implicit-caching, vision, file-input, web-search |
| xai/grok-4.20-multi-agent | chat | 2M | $1.25/1M | $2.50/1M | xai | reasoning, tool-use, implicit-caching, vision, file-input, web-search |
| xai/grok-4.20-non-reasoning | chat | 2M | $1.25/1M | $2.50/1M | xai, vertex | tool-use, implicit-caching, vision, file-input, web-search |
| xai/grok-4.20-reasoning | chat | 2M | $1.25/1M | $2.50/1M | xai, vertex | reasoning, vision, tool-use, file-input, implicit-caching, web-search |
| xai/grok-4.3 | chat | 1M | $1.25/1M | $2.50/1M | xai, vertex | reasoning, tool-use, implicit-caching, file-input, vision, web-search |
| xai/grok-4.5 | chat | 500K | $2.00/1M | $6.00/1M | xai | reasoning, tool-use, implicit-caching, file-input, vision, web-search |
| xai/grok-4.6 | chat | 500K | $2.00/1M | $6.00/1M | xai | reasoning, tool-use, implicit-caching, vision |
| xai/grok-build-0.1 | chat | 256K | $1.00/1M | $2.00/1M | xai | reasoning, implicit-caching, vision, tool-use, web-search |
| xai/grok-imagine-video | video | 0 | $0.00/1M | $0.00/1M | xai | image-to-video, text-to-video, video-editing, audio-generation |
| xai/grok-imagine-image | image | 0 | $0.00/1M | $0.00/1M | xai | image-generation |
| xai/grok-imagine-image-2.0 | image | 0 | $0.00/1M | $0.00/1M | xai | image-generation |
| xai/grok-imagine-video-1.5 | video | 0 | $0.00/1M | $0.00/1M | xai | image-to-video, reference-to-video, text-to-video |
| xai/grok-imagine-video-1.5-preview | video | 0 | $0.00/1M | $0.00/1M | xai | image-to-video |
| xai/grok-stt | transcription | 0 | $0.00/1M | $0.00/1M | xai | websockets |
| xai/grok-tts | speech | 0 | $15.00/1M | $0.00/1M | xai |  |
| xai/grok-voice-think-fast-1.0 | realtime | 0 | $0.00/1M | $0.00/1M | xai |  |
| xai/grok-voice-think-fast-2.0 | realtime | 0 | $0.00/1M | $0.00/1M | xai |  |
| xiaomi/mimo-v2.5 | chat | 1.1M | $0.14/1M | $0.28/1M | xiaomi, deepinfra | reasoning, tool-use, implicit-caching, file-input, vision |
| xiaomi/mimo-v2.5-pro | chat | 1.1M | $0.43/1M | $0.87/1M | xiaomi, deepinfra | reasoning, tool-use, implicit-caching |
| zai/glm-4.5 | chat | 128K | $0.60/1M | $2.20/1M | zai | reasoning, tool-use, implicit-caching |
| zai/glm-4.5-air | chat | 128K | $0.20/1M | $1.10/1M | zai | reasoning, tool-use, implicit-caching |
| zai/glm-4.5v | chat | 66K | $0.60/1M | $1.80/1M | novita, zai | implicit-caching, reasoning, tool-use, vision |
| zai/glm-4.6 | chat | 204.8K | $0.60/1M | $2.20/1M | zai, deepinfra, novita | reasoning, tool-use, implicit-caching |
| zai/glm-4.7 | chat | 204.8K | $2.25/1M | $2.75/1M | zai, novita, deepinfra, cerebras, bedrock, baseten | reasoning, tool-use, implicit-caching |
| zai/glm-4.7-flash | chat | 200K | $0.07/1M | $0.40/1M | zai, bedrock | implicit-caching, reasoning, tool-use |
| zai/glm-4.7-flashx | chat | 200K | $0.06/1M | $0.40/1M | zai | reasoning, tool-use, implicit-caching |
| zai/glm-5 | chat | 202.8K | $0.80/1M | $2.56/1M | zai, deepinfra, parasail, bedrock, novita | reasoning, tool-use, implicit-caching |
| zai/glm-5-turbo | chat | 202.8K | $1.20/1M | $4.00/1M | zai | reasoning, tool-use, implicit-caching |
| zai/glm-5.1 | chat | 204.8K | $1.40/1M | $4.40/1M | zai, deepinfra, novita | reasoning, tool-use, implicit-caching |
| zai/glm-5.2 | chat | 1.0M | $0.00/1M | $0.00/1M | zai, baseten, fireworks, wafer, deepinfra, parasail, togetherai, streamlake, novita, alibaba, morph, crusoe, digitalocean, nebius, friendli, blackbox | reasoning, tool-use, implicit-caching |
| zai/glm-5.2-fast | chat | 1M | $2.10/1M | $6.60/1M | wafer, fireworks, baseten, alibaba | reasoning, tool-use, implicit-caching |
| zai/glm-5v-turbo | chat | 200K | $1.20/1M | $4.00/1M | zai | reasoning, tool-use, implicit-caching, vision, file-input |
| zai/glm-4.6v | chat | 128K | $0.30/1M | $0.90/1M | zai | vision, file-input, reasoning, tool-use, implicit-caching |
| zai/glm-4.6v-flash | chat | 128K | $0.00/1M | $0.00/1M | zai | vision, reasoning, file-input, tool-use, implicit-caching, free |
| exa/search | tool | 0 | $0.00/1M | $0.00/1M | exa | web-search, tool |
| perplexity/search | tool | 0 | $0.00/1M | $0.00/1M | perplexity | web-search, tool |
| parallel/search | tool | 0 | $0.00/1M | $0.00/1M | parallel | web-search, tool |

---

## Detailed Model Information

### alibaba/qwen-3-32b

Qwen3-32B is a world-class model with comparable quality to DeepSeek R1 while outperforming GPT-4.1 and Claude Sonnet 3.7. It excels in code-gen, tool-calling, and advanced reasoning, making it an exceptional model for a wide range of production use cases.

- **Max output tokens:** 16.4K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen-3-32b

### alibaba/qwen3-coder-30b-a3b

Efficient coding specialist balancing performance with cost-effectiveness for daily development tasks while maintaining strong tool integration capabilities.

- **Max output tokens:** 32.8K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-coder-30b-a3b

### alibaba/qwen3-max-thinking

Compared with the snapshot as of September 23, 2025, the Qwen-3 series Max model in this release achieves an effective integration of thinking and non-thinking modes, resulting in a comprehensive and substantial improvement in the model’s overall performance. In thinking mode, the model simultaneously supports web search, web information extraction, and a code interpreter tool, enabling it to tackle more complex and challenging problems with greater accuracy by leveraging external tools while engaging in slow, deliberative reasoning. This version is based on a snapshot taken on January 23, 2026.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.24/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-max-thinking

### alibaba/qwen3-vl-235b-a22b-instruct



- **Max output tokens:** 262.1K
- **Cached input cost:** $0.11/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-vl-235b-a22b-instruct

### alibaba/qwen3.5-flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.

- **Max output tokens:** 64K
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.5-flash

### alibaba/qwen3.5-plus

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.

- **Max output tokens:** 64K
- **Cached input cost:** $0.04/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.5-plus

### alibaba/qwen3.6-27b

The Qwen3.6 35B-A3B native vision-language model is built on a hybrid architecture that integrates linear attention mechanisms with a sparse mixture-of-experts framework, achieving higher inference efficiency. Compared with the 3.5-35B-A3B, this model demonstrates significantly improved agentic coding capabilities, mathematical and code reasoning abilities, spatial intelligence, as well as object localization and object detection performance.

- **Max output tokens:** 256K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.6-27b

### alibaba/qwen-3.6-max-preview

Compared with the previously released Qwen3-Max and Qwen3.6-Plus, this model features enhanced vibe coding abilities, more efficient coding agent execution, and significantly improved front-end development skills. Additionally, its long-tail knowledge retention has been further upgraded.

- **Max output tokens:** 64K
- **Cached input cost:** $0.26/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen-3.6-max-preview

### alibaba/qwen3.6-plus

The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.

- **Max output tokens:** 64K
- **Cached input cost:** $0.10/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.6-plus

### alibaba/qwen3.7-flash

The Qwen3.7 native vision-language Flash model series delivers a comprehensive upgrade over 3.6-Flash in multimodal understanding and agent execution. This model particularly excels in enhanced multimodal foundations with stronger universal object recognition, further improved real-world perception and spatial intelligence, significantly upgraded multimodal agent capabilities for Search Agent and CI Agent scenarios with more stable end-to-end task execution, as well as optimized multimodal coding for a smoother vibe coding experience.

- **Max output tokens:** 64K
- **Cached input cost:** $0.01/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.7-flash

### alibaba/qwen3.7-max

Qwen3.7 is a next‑generation flagship model designed for the agent‑centric era, with its core strengths lying in the breadth and depth of its agent‑level capabilities: it excels at programming, office and productivity tasks, and long‑term autonomous execution.

- **Max output tokens:** 64K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.7-max

### alibaba/qwen3.7-plus

Among the Qwen3.7 series, the cost-effective Plus model builds on its robust text capabilities while delivering a comprehensive upgrade to its vision‑language abilities, all while preserving its full‑stack agent‑level intelligence for coding, tool use, and productivity workflows.

- **Max output tokens:** 64K
- **Cached input cost:** $0.08/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.7-plus

### alibaba/qwen3.8-max

Qwen 3.8 Max is a 2.4-trillion-parameter MoE model delivering a comprehensive leap in coding and professional work. Autonomously codes and delivers complete projects spanning 10+ days. Handles hundreds of specialized tasks across legal, financial, design, and other professional domains, producing production-grade results end-to-end in a single conversation. Native visual understanding runs through the full cycle of planning, execution, and verification, enabling deep semantic analysis of ultra-long documents and extended video content. In long-horizon tasks, plans autonomously, iterates through closed feedback loops, and continuously evolves.

- **Max output tokens:** 128K
- **Cached input cost:** $0.25/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.8-max

### alibaba/qwen-3-235b

Qwen3-235B-A22B-Instruct-2507 is the updated version of the Qwen3-235B-A22B non-thinking mode, featuring Significant improvements in general capabilities, including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage.

- **Max output tokens:** 32.8K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen-3-235b

### alibaba/qwen3-235b-a22b-thinking

Qwen3-235B-A22B-Thinking-2507 is the Qwen3's new model with scaling the thinking capability of Qwen3-235B-A22B, improving both the quality and depth of reasoning.

- **Max output tokens:** 262.1K
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-235b-a22b-thinking

### alibaba/qwen3-coder

Qwen3-Coder-480B-A35B-Instruct is Qwen's most agentic code model, featuring significant performance on Agentic Coding, Agentic Browser-Use and other foundational coding tasks, achieving results comparable to Claude Sonnet.

- **Max output tokens:** 66.5K
- **Cached input cost:** $0.02/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-coder

### alibaba/qwen3-coder-next

Qwen3-Coder-Next is an open-weight language model built specifically for coding, with strong performance on large-scale software engineering and agentic coding benchmarks. It uses a hybrid Mixture-of-Experts architecture to offer high capability at relatively modest active parameter counts, improving efficiency for real-world deployments. The model is trained on diverse code and natural language data so it can handle tasks like code generation, refactoring, debugging, repository-level reasoning, and technical explanation across multiple programming languages. It is also optimized for tool use and function calling, making it suitable as the core of coding agents that interact with shells, editors, issue trackers, and other developer tools.

- **Max output tokens:** 256K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-coder-next

### alibaba/qwen3-coder-plus

Powered by Qwen3 this is a powerful Coding Agent that excels in tool calling and environment interaction to achieve autonomous programming. It combines outstanding coding proficiency with versatile general-purpose abilities.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-coder-plus

### alibaba/qwen3-embedding-0.6b

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).

- **Max output tokens:** 32.8K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-embedding-0.6b

### alibaba/qwen3-embedding-4b

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).

- **Max output tokens:** 32.8K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-embedding-4b

### alibaba/qwen3-embedding-8b

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B).

- **Max output tokens:** 41K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-embedding-8b

### alibaba/qwen3-max

The Qwen 3 series Max model has undergone specialized upgrades in agent programming and tool invocation compared to the preview version. The officially released model this time has achieved state-of-the-art (SOTA) performance in its field and is better suited to meet the demands of agents operating in more complex scenarios.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.24/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-max

### alibaba/qwen3-max-preview

Qwen3-Max-Preview shows substantial gains over the 2.5 series in overall capability, with significant enhancements in Chinese-English text understanding, complex instruction following, handling of subjective open-ended tasks, multilingual ability, and tool invocation; model knowledge hallucinations are reduced.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.24/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-max-preview

### alibaba/qwen3-next-80b-a3b-instruct

A new generation of open-source, non-thinking mode model powered by Qwen3. This version demonstrates superior Chinese text understanding, augmented logical reasoning, and enhanced capabilities in text generation tasks over the previous iteration (Qwen3-235B-A22B-Instruct-2507).

- **Max output tokens:** 262.1K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-next-80b-a3b-instruct

### alibaba/qwen3-next-80b-a3b-thinking

A new generation of Qwen3-based open-source thinking mode models. This version offers improved instruction following and streamlined summary responses over the previous iteration (Qwen3-235B-A22B-Thinking-2507).

- **Max output tokens:** 262.1K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-next-80b-a3b-thinking

### alibaba/qwen3-vl-instruct

The Qwen3 series VL models has been comprehensively upgraded in areas such as visual coding and spatial perception. Its visual perception and recognition capabilities have significantly improved, supporting the understanding of ultra-long videos, and its OCR functionality has undergone a major enhancement.

- **Max output tokens:** 262.1K
- **Cached input cost:** $0.11/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-vl-instruct

### alibaba/qwen3-vl-thinking

Qwen3 series VL models feature significantly enhanced multimodal reasoning capabilities, with a particular focus on optimizing the model for STEM and mathematical reasoning. Visual perception and recognition abilities have been comprehensively improved, and OCR capabilities have undergone a major upgrade.

- **Max output tokens:** 32.8K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3-vl-thinking

### alibaba/qwen-3-14b

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

- **Max output tokens:** 16.4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen-3-14b

### alibaba/qwen-3-30b

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

- **Max output tokens:** 16.4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen-3-30b

### alibaba/qwen3.8-2.4t-a95b

Open-weights release of the Qwen3.8 flagship (2.4T MoE, ~95B active); thinking always on with reasoning_effort low/medium/xhigh. The hosted Qwen 3.8 Max (vision, non-thinking, 1M default context) is Alibaba-only.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.12/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/qwen3.8-2.4t-a95b

### alibaba/wan-v2.5-t2v-preview



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.5-t2v-preview

### alibaba/wan-v2.6-i2v



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.6-i2v

### alibaba/wan-v2.6-i2v-flash



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.6-i2v-flash

### alibaba/wan-v2.6-r2v



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.6-r2v

### alibaba/wan-v2.6-r2v-flash



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.6-r2v-flash

### alibaba/wan-v2.6-t2v



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.6-t2v

### alibaba/wan-v2.7-r2v



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.7-r2v

### alibaba/wan-v2.7-t2v



- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/wan-v2.7-t2v

### amazon/nova-2-lite

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text.

- **Max output tokens:** 1M
- **Cached input cost:** $0.07/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/nova-2-lite

### amazon/nova-lite

A very low cost multimodal model that is lightning fast for processing image, video, and text inputs.

- **Max output tokens:** 8.2K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/nova-lite

### amazon/nova-micro

A text-only model that delivers the lowest latency responses at very low cost.

- **Max output tokens:** 8.2K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/nova-micro

### amazon/nova-pro

A highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.

- **Max output tokens:** 8.2K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/nova-pro

### amazon/titan-embed-text-v2

Amazon Titan Text Embeddings V2 is a light weight, efficient multilingual embedding model supporting 1024, 512, and 256 dimensions.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/titan-embed-text-v2

### anthropic/claude-3-haiku

Claude 3 Haiku is Anthropic's fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed. Customers will be able to build seamless AI experiences that mimic human interactions. Claude 3 Haiku can process images and return text outputs, and features a 200K context window.

- **Max output tokens:** 4.1K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-3-haiku

### anthropic/claude-fable-5

Claude Fable 5 is a Mythos-class model with robust safeguards. It can handle long-running, complex, and asynchronous tasks where previous models would have needed more frequent check-ins.

- **Max output tokens:** 128K
- **Cached input cost:** $1.00/1M
- **Details:** https://vercel.com/ai-gateway/models/claude-fable-5

### anthropic/claude-haiku-4.5

Claude Haiku 4.5 matches Sonnet 4's performance on coding, computer use, and agent tasks at substantially lower cost and faster speeds. It delivers near-frontier performance and Claude’s unique character at a price point that works for scaled sub-agent deployments, free tier products, and intelligence-sensitive applications with budget constraints.

- **Max output tokens:** 64K
- **Cached input cost:** $0.10/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-haiku-4.5

### anthropic/claude-opus-4

Claude Opus 4 is Anthropic's most powerful model yet and the state-of-the-art coding model. It delivers sustained performance on long-running tasks that require focused effort and thousands of steps, significantly expanding what AI agents can solve. Claude Opus 4 is ideal for powering frontier agent products and features.

- **Max output tokens:** 8.2K
- **Cached input cost:** $1.50/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-opus-4

### anthropic/claude-opus-4.5

Claude Opus 4.5 is Anthropic’s latest model in the Opus series, meant for demanding reasoning tasks and complex problem solving. This model has improvements in general intelligence and vision compared to previous iterations. In addition, it is suited for difficult coding tasks and agentic workflows, especially those with computer use and tool use, and can effectively handle context usage and external memory files.

- **Max output tokens:** 64K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-opus-4.5

### anthropic/claude-opus-4.6

Opus 4.6 is the world’s best model for coding and professional work, built to power agents that take on whole categories of real-world work. It excels across the entire SDLC, breaking through on hard problems, identifying complex bugs, and demonstrating deeper codebase understanding. It also delivers a step-change in knowledge work, with near-production-ready documents, presentations, and spreadsheets on the first pass.

- **Max output tokens:** 128K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-opus-4.6

### anthropic/claude-opus-4.7

Opus 4.7 builds on the coding and agentic strengths of Opus 4.6 with stronger performance on complex, multi-step tasks and more reliable agentic execution. It also brings improved performance on knowledge work, from drafting documents to building presentations and analyzing data.

- **Max output tokens:** 128K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-opus-4.7

### anthropic/claude-opus-4.8

Opus 4.8 is a focused upgrade to Opus 4.7 and is Anthropic's best generally available model for coding, agentic tasks, and enterprise workflows. It builds on the strengths of previous Opus models with stronger performance on complex, multi-step coding tasks. Anthropic recommends using it on long-horizon coding and agentic tasks. It is also stronger on professional work, including document drafting, data analysis, and presentations.

- **Max output tokens:** 128K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-opus-4.8

### anthropic/claude-opus-5

Claude Opus 5 is the latest model in Anthropic's Opus family and a step-change improvement over Opus 4.8. It delivers major gains over Opus 4.8 in agentic coding, professional knowledge work, and long-horizon reasoning, and it is stronger per token across effort levels.

- **Max output tokens:** 128K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-opus-5

### anthropic/claude-sonnet-4

Claude Sonnet 4 balances impressive performance for coding with the right speed and cost for high-volume use cases: Coding: Handle everyday development tasks with enhanced performance-power code reviews, bug fixes, API integrations, and feature development with immediate feedback loops.

- **Max output tokens:** 8.2K
- **Cached input cost:** $0.30/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-sonnet-4

### anthropic/claude-sonnet-4.5

Claude Sonnet 4.5 is the newest model in the Sonnet series, offering improvements and updates over Sonnet 4.

- **Max output tokens:** 64K
- **Cached input cost:** $0.30/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-sonnet-4.5

### anthropic/claude-sonnet-4.6

Claude Sonnet 4.6 is the most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

- **Max output tokens:** 128K
- **Cached input cost:** $0.30/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-sonnet-4.6

### anthropic/claude-sonnet-5

Sonnet 5 is an upgrade to Sonnet 4.6, with gains across agentic coding and professional work. It builds on the strengths of previous Sonnet models, bringing top-tier intelligence at Sonnet pricing for coding, agents, and everyday professional work at scale.

- **Max output tokens:** 128K
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/claude-sonnet-5

### arcee-ai/trinity-large-thinking

Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities.

- **Max output tokens:** 80K
- **Details:** https://vercel.com/ai-gateway/models/trinity-large-thinking

### arcee-ai/trinity-mini

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model, engineered for efficient inference over long contexts with robust function calling and multi-step agent workflows.

- **Max output tokens:** 131.1K
- **Details:** https://vercel.com/ai-gateway/models/trinity-mini

### bfl/flux-3-video

FLUX 3 is a new multimodal foundation model that learns from images, videos, and audio within a unified architecture.

- **Details:** https://vercel.com/ai-gateway/models/flux-3-video

### bfl/flux-pro-1.0-fill

A state-of-the-art inpainting model, enabling editing and expansion of real and generated images given a text description and a binary mask.
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Image cost:** $0.05/1M
- **Details:** https://vercel.com/ai-gateway/models/flux-pro-1.0-fill

### bfl/flux-kontext-max

FLUX.1 Kontext creates images from text prompts with unique capabilities for character consistency and advanced editing. It also edits images using simple text prompts. No complex workflows or fine-tuning needed.
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Image cost:** $0.08/1M
- **Details:** https://vercel.com/ai-gateway/models/flux-kontext-max

### bfl/flux-kontext-pro

FLUX.1 Kontext creates images from text prompts with unique capabilities for character consistency and advanced editing. It also edits images using simple text prompts. No complex workflows or fine-tuning needed.
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/flux-kontext-pro

### bfl/flux-2-flex

FLUX.2 is a completely new base model trained for visual intelligence, not just pixel generation, setting a new standard for both image generation and image editing. With FLUX.2 models you can expect the highest quality, higher resolutions (up to 4MP), and new capabilities like multi-ref images. FLUX.2 [flex] supports customizable image generation and editing with adjustable steps and guidance. It's better at typography and text rendering. It supports up to 10 reference images (up to 14 MP total input).
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Details:** https://vercel.com/ai-gateway/models/flux-2-flex

### bfl/flux-2-klein-4b

FLUX.2 [klein] is Black Forest Labs' fastest image model yet - it unifies image generation and editing in a single, compact model. Delivering state-of-the-art quality with end-to-end inference in less than a second. Enabling interactive workflows, real-time previews, and latency-critical applications.

- **Details:** https://vercel.com/ai-gateway/models/flux-2-klein-4b

### bfl/flux-2-klein-9b

FLUX.2 [klein] is Black Forest Labs' fastest image model yet - it unifies image generation and editing in a single, compact model. Delivering state-of-the-art quality with end-to-end inference in less than a second. Enabling interactive workflows, real-time previews, and latency-critical applications.

- **Details:** https://vercel.com/ai-gateway/models/flux-2-klein-9b

### bfl/flux-2-max

FLUX.2 [max] offers image generation and image editing with the highest quality available. It delivers state-of-the-art image generation and advanced image editing with exceptional realism, precision, and consistency. Built for professional use, FLUX.2 [max] produces production-ready outputs for marketing teams, creatives, filmmakers, and creators around the world.

- **Max output tokens:** 67.3K
- **Details:** https://vercel.com/ai-gateway/models/flux-2-max

### bfl/flux-2-pro

FLUX.2 is a completely new base model trained for visual intelligence, not just pixel generation, setting a new standard for both image generation and image editing. With FLUX.2 models you can expect the highest quality, higher resolutions (up to 4MP), and new capabilities like multi-ref images. FLUX.2 [pro] supports generation, editing, and multiple reference images (up to 9 MP total input).
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Max output tokens:** 67.3K
- **Details:** https://vercel.com/ai-gateway/models/flux-2-pro

### bfl/flux-pro-1.1

FLUX1.1 [pro] is the standard for text-to-image generation with fast, reliable and consistently stunning results.
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/flux-pro-1.1

### bfl/flux-pro-1.1-ultra

FLUX1.1 [pro] Ultra delivers ultra-fast, ultra high-resolution image creation - with more pixels in every picture. Generate varying aspect ratios from text, at 4MP resolution fast.
This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).

- **Image cost:** $0.06/1M
- **Details:** https://vercel.com/ai-gateway/models/flux-pro-1.1-ultra

### bytedance/seed-1.8

Bytedance Seed 1.8 features stronger multimodal understanding and agent capabilities. The model delivers superior performance across a wide range of complex real-world tasks, helping enterprises create greater value.

- **Max output tokens:** 64K
- **Cached input cost:** $0.05/1M
- **Details:** https://vercel.com/ai-gateway/models/seed-1.8

### bytedance/seed-1.6

ByteDance's new multimodal deep-thinking model, supporting both text and visual inputs with enhanced reasoning capabilities.

- **Max output tokens:** 32K
- **Cached input cost:** $0.05/1M
- **Details:** https://vercel.com/ai-gateway/models/seed-1.6

### bytedance/seedance-2.0

Built with a unified multimodal audio-video joint generation architecture, Seedance 2.0 supports four input modalities: text, image, audio, and video. Compared with Version 1.5, Seedance 2.0 delivers a substantial leap in generation quality. It achieves a higher usability rate for complex interaction and motion scenes, with significant improvements in physical accuracy, visual realism, and controllability, making it well-suited for high-quality creation scenarios.

- **Details:** https://vercel.com/ai-gateway/models/seedance-2.0

### bytedance/seedance-2.0-fast

Seedance 2.0 Fast is a new-generation multimodal video creation model, inheriting the core functions and advantages of Seedance 2.0, with faster speed.

- **Details:** https://vercel.com/ai-gateway/models/seedance-2.0-fast

### bytedance/seedance-2.5

Seedance 2.5 is a next-generation audio-video joint generation model, built for 30-second storytelling with precise reference control and powerful editing capabilities.

- **Details:** https://vercel.com/ai-gateway/models/seedance-2.5

### bytedance/seedance-v1.0-pro

A video generation model that supports multi-shot storytelling. It excels in semantic understanding and instruction following, producing smooth, detailed, and cinematic 1080P HD videos.

- **Details:** https://vercel.com/ai-gateway/models/seedance-v1.0-pro

### bytedance/seedance-v1.0-pro-fast

Seedance 1.0 Pro Fast delivers top performance at an unbeatable price, balancing quality, speed, and cost. Built on Seedance 1.0 Pro’s core strengths, it’s faster and more cost-efficient for creators.

- **Details:** https://vercel.com/ai-gateway/models/seedance-v1.0-pro-fast

### bytedance/seedance-v1.5-pro

ByteDance's Seedance 1.5 Pro is a professional video model using V2A native generation for integrated, synced audio-visual output, enhancing efficiency of professional video creation.

- **Details:** https://vercel.com/ai-gateway/models/seedance-v1.5-pro

### bytedance/seedream-4.0

Seedream 4.0 is a SOTA multimodal image creation model built on leading architecture. It breaks through the boundaries of traditional text-to-image models by natively supporting text, single-image, and multi-image inputs. Users can freely combine text and images to achieve diverse creative modes within a single model—such as multi-image blending, image editing, and sequentially batch image generation, featuring subject consistency, making image creation more free and controllable.

- **Image cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/seedream-4.0

### bytedance/seedream-4.5

Seedream 4.5 is the latest in-house image generation model developed by ByteDance. Compared with Seedream 4.0, it delivers comprehensive improvements—especially in editing consistency, including better preservation of subject details, lighting, and color tone. It also enhances portrait refinement and small-text rendering. The model’s multi-image composition capabilities have been significantly strengthened, and both reasoning performance and visual aesthetics continue to advance, enabling more accurate and artistically expressive image generation.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/seedream-4.5

### bytedance/seedream-5.0-lite

ByteDance-Seedream-5.0-lite is the latest image generation model released by BytePlus. For the first time, it introduces web-connected retrieval, enabling the model to fuse real-time online information to significantly improve the timeliness and relevance of generated images. The model’s reasoning and comprehension capabilities are further upgraded, allowing it to accurately interpret complex prompts and visual inputs. In addition, ByteDance-Seedream-5.0-lite delivers notable improvements in global knowledge coverage, reference consistency, and professional-grade scene generation, making it well suited for enterprise-level visual creation workflows.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/seedream-5.0-lite

### bytedance/seedream-5.0-pro

Seedream-5.0-Pro, ByteDance's newest image generation model, delivers comprehensive upgrades for complex, lifelike image creation and editing, ushering in a new phase of controllable visual production. It stands out with precise editing control, robust commercial applicability and natural rendering results.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/seedream-5.0-pro

### cohere/rerank-v3.5

A model that allows for re-ranking English Language documents and semi-structured data (JSON).

- **Max output tokens:** 4.1K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/rerank-v3.5

### cohere/rerank-v4-fast

A light version of Rerank 4 Pro, this is a multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This model is better suited for low latency and high throughput use-cases than its pro variant.

- **Max output tokens:** 32K
- **Details:** https://vercel.com/ai-gateway/models/rerank-v4-fast

### cohere/rerank-v4-pro

A multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This model is better suited for state-of-the-art quality and complex use-cases than its fast variant.

- **Max output tokens:** 32K
- **Details:** https://vercel.com/ai-gateway/models/rerank-v4-pro

### cohere/command-a

Command A is Cohere's most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024.

- **Max output tokens:** 8K
- **Details:** https://vercel.com/ai-gateway/models/command-a

### cohere/embed-v4.0

A model that allows for text, images, or mixed content to be classified or turned into embeddings.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/embed-v4.0

### deepseek/deepseek-r1

The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528.

- **Max output tokens:** 16.4K
- **Cached input cost:** $0.35/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-r1

### deepseek/deepseek-v3

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.

- **Max output tokens:** 163.8K
- **Cached input cost:** $0.14/1M
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v3

### deepseek/deepseek-v3.1

DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.

- **Max output tokens:** 163.8K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v3.1

### deepseek/deepseek-v3.1-terminus

DeepSeek-V3.1-Terminus delivers more stable & reliable outputs across benchmarks compared to the previous version and addresses user feedback (i.e. language consistency and agent upgrades).

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.14/1M
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v3.1-terminus

### deepseek/deepseek-v3.2

DeepSeek-V3.2: Official successor to V3.2-Exp.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v3.2

### deepseek/deepseek-v3.2-thinking



- **Max output tokens:** 65.5K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v3.2-thinking

### deepseek/deepseek-v4-flash

DeepSeek-V4 series incorporate several key upgrades in architecture and optimization: (1) a hybrid attention architecture that combines Compressed Sparse Attention (CSA)
and Heavily Compressed Attention (HCA) to improve long-context efficiency; (2) ManifoldConstrained Hyper-Connections (mHC) that enhance conventional residual connections; (3)
and the Muon optimizer for faster convergence and greater training stability

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v4-flash

### deepseek/deepseek-v4-flash-0731



- **Max output tokens:** 1M
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v4-flash-0731

### deepseek/deepseek-v4-pro

DeepSeek-V4 series incorporate several key upgrades in architecture and optimization: (1) a hybrid attention architecture that combines Compressed Sparse Attention (CSA)
and Heavily Compressed Attention (HCA) to improve long-context efficiency; (2) ManifoldConstrained Hyper-Connections (mHC) that enhance conventional residual connections; (3)
and the Muon optimizer for faster convergence and greater training stability

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v4-pro

### deepseek/deepseek-v4-pro-0813

This is the 8/13 updated weights version of DeepSeek V4 Pro.

- **Max output tokens:** 384K
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/deepseek-v4-pro-0813

### fish-audio/s1

Fish Audio S1 is trained on over 2 million hours of audio with online RLHF (GRPO). It achieves 0.8% WER and 0.4% CER on Seed TTS Eval. S1 supports open-domain emotion, tone, and special effect markers.

- **Details:** https://vercel.com/ai-gateway/models/s1

### fish-audio/s2-pro

Fish Audio S2 is the second-generation TTS model from Fish Audio. It's trained on over 10 million hours of audio across approximately 80 languages, and it introduces inline tag control: natural-language instructions embedded directly in your script at any position, giving you fine-grained direction over how speech is delivered at the word or phrase level.

- **Details:** https://vercel.com/ai-gateway/models/s2-pro

### fish-audio/s2.1-pro

S2.1 Pro is Fish Audio's current state-of-the-art voice model — the best model we have, now available to every developer for free via API. It is a neural speech synthesis model designed for production-grade AI voice generation, with particular strengths in low-latency streaming, multilingual TTS, and voice cloning. 

- **Details:** https://vercel.com/ai-gateway/models/s2.1-pro

### fish-audio/transcribe-1

Turn spoken audio into accurate text — with timed segments — using Fish Audio’s ASR model. Send an audio file, get back the transcript, its duration, and timestamped segments.

- **Details:** https://vercel.com/ai-gateway/models/transcribe-1

### google/gemini-2.5-flash

Gemini 2.5 Flash is a thinking model that offers great, well-rounded capabilities. It is designed to offer a balance between price and performance with multimodal support and a 1M token context window.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-2.5-flash

### google/gemini-2.5-flash-lite

Gemini 2.5 Flash-Lite is a balanced, low-latency model with configurable thinking budgets and tool connectivity (e.g., Google Search grounding and code execution). It supports multimodal input and offers a 1M-token context window.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.01/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-2.5-flash-lite

### google/gemini-2.5-flash-preview-09-2025

Gemini 2.5 Flash is a thinking model that offers great, well-rounded capabilities. It is designed to offer a balance between price and performance with multimodal support and a 1M token context window.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/gemini-2.5-flash-preview-09-2025

### google/gemini-2.5-pro

Gemini 2.5 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. Gemini 2.5 Pro can comprehend vast datasets and challenging problems from different information sources, including text, audio, images, video, and even entire code repositories.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-2.5-pro

### google/gemini-3-flash

Google's most intelligent model built for speed, combining frontier intelligence with superior search and grounding.

- **Max output tokens:** 65K
- **Cached input cost:** $0.05/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3-flash

### google/gemini-3.1-flash-image

Gemini 3.1 Flash Image is optimized for image understanding and generation and offers a balance of price and performance.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.05/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.1-flash-image

### google/gemini-3.1-flash-image-preview

Gemini 3.1 Flash Image (Nano Banana 2) is optimized for image understanding and generation and offers a balance of price and performance.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.05/1M
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.1-flash-image-preview

### google/gemini-3.1-flash-lite

Gemini 3.1 Flash Lite outperforms 2.5 Flash Lite on overall quality and lands close to 2.5 Flash performance across key capability areas. It is a workhorse model for high-volume use cases, with improvements across audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion.

- **Max output tokens:** 65K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.1-flash-lite

### google/gemini-3.1-flash-lite-image

Gemini 3.1 Flash-Lite Image (Nano Banana 2 Lite) is Google's fastest image generation model enabling rapid creation and iteration.

- **Max output tokens:** 4.1K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.1-flash-lite-image

### google/gemini-3.1-pro-preview

Improved SWE and agentic capabilities, improved token efficiency and thinking, and expanded thinking levels.

- **Max output tokens:** 64K
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.1-pro-preview

### google/gemini-3.5-flash

Google's latest model, highly optimized for coding proficiency and parallel agentic execution loops. Defaults to medium thinking effort for faster and more cost-efficient responses.

- **Max output tokens:** 64K
- **Cached input cost:** $0.15/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.5-flash

### google/gemini-3.5-flash-lite

Gemini 3.5 Flash Lite features upgraded agentic capabilities, making the model ideal for subagents in complex workflows.

- **Max output tokens:** 65K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.5-flash-lite

### google/gemini-3.6-flash

Gemini 3.6 Flash delivers higher quality across coding, agentic workflows, and web development with reduced token consumption and fewer model calls compared to previous model iterations.

- **Max output tokens:** 64K
- **Cached input cost:** $0.15/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.6-flash

### google/gemini-3.7-flash



- **Max output tokens:** 65.5K
- **Cached input cost:** $0.07/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3.7-flash

### google/gemini-embedding-001

State-of-the-art embedding model with excellent performance across English, multilingual and code tasks.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-embedding-001

### google/gemini-embedding-2

Google’s first fully multimodal Embedding model that is capable of mapping text, image, video, audio, and PDFs and their interleaved combinations thereof into a single, unified vector space. Built on the Gemini architecture, it supports 100+ languages.

- **Details:** https://vercel.com/ai-gateway/models/gemini-embedding-2

### google/gemini-omni-flash-preview

Gemini Omni Flash (Preview) is a multimodal model designed for video, image, and text tasks. It is optimized for video generation, offering video output alongside text responses in a single model.

- **Max output tokens:** 57.9K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-omni-flash-preview

### google/gemma-4-26b-a4b-it

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.01/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemma-4-26b-a4b-it

### google/gemma-4-31b-it

Gemma 4 31B is engineered to tackle the most demanding enterprise workloads and complex reasoning tasks. With an expansive 256K-token context window, the 31B model can effortlessly ingest entire codebases, and massive sets of images in a single prompt.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.10/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemma-4-31b-it

### google/imagen-4.0-generate-001

Imagen 4: Google's flagship text-to-image model that serves as the go-to choice for a wide variety of high-quality image generation tasks, featuring significant improvements in text rendering over previous models. It now supports up to 2K resolution generation for creating detailed and crisp visuals, making it suitable for everything from marketing assets to artistic compositions.

- **Image cost:** $0.04/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/imagen-4.0-generate-001

### google/imagen-4.0-fast-generate-001

Imagen 4 Fast is Google’s speed-optimized variant of the Imagen 4 text-to-image model, designed for rapid, high-volume image generation. It’s ideal for workflows like quick drafts, mockups, and iterative creative exploration. Despite emphasizing speed, it still benefits from the broader Imagen 4 family’s improvements in clarity, text rendering, and stylistic flexibility, and supports high-resolution outputs up to 2K.

- **Image cost:** $0.02/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/imagen-4.0-fast-generate-001

### google/imagen-4.0-ultra-generate-001

Imagen 4 Ultra: Highest quality image generation model for detailed and photorealistic outputs.

- **Image cost:** $0.06/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/imagen-4.0-ultra-generate-001

### google/gemini-2.5-flash-image

Nano Banana (Gemini 2.5 Flash Image) is Google's first fully hybrid reasoning model, letting developers turn thinking on or off and set thinking budgets to balance quality, cost, and latency. Upgraded for rapid creative workflows, it can generate interleaved text and images and supports conversational, multi‑turn image editing in natural language. It’s also locale‑aware, enabling culturally and linguistically appropriate image generation for audiences worldwide.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-2.5-flash-image

### google/gemini-3-pro-image

Nano Banana Pro (Gemini 3 Pro Image) builds on Nano Banana's generation capabilities into a new era of studio-quality, functional design to help you create and edit high-fidelity, production-ready visuals with unparalleled precision and control. Improvements include enhanced world knowledge and reasoning, dynamic text and translation, and studio level controls.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gemini-3-pro-image

### google/text-embedding-005

English-focused text embedding model optimized for code and English language tasks.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/text-embedding-005

### google/text-multilingual-embedding-002

Multilingual text embedding model optimized for cross-lingual tasks across many languages.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/text-multilingual-embedding-002

### google/veo-3.0-generate-001

Veo 3 is designed to handle a range of video generation tasks, from cinematic narratives to dynamic character animations. With Veo 3, you can create more immersive experiences by not only generating stunning visuals, but also audio like dialogue and sound effects.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/veo-3.0-generate-001

### google/veo-3.0-fast-generate-001

Veo 3 Fast is a quicker and more cost effective version of Veo 3, allowing developers to create videos with sound while maintaining high quality and optimizing for speed and business use cases. Veo 3 Fast offers both text-to-video and image-to-video modalities.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/veo-3.0-fast-generate-001

### google/veo-3.1-generate-001

Veo 3.1 is Google's state-of-the-art model for generating high-fidelity, 8-second 720p, 1080p or 4k videos featuring stunning realism and natively generated audio.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/veo-3.1-generate-001

### google/veo-3.1-fast-generate-001

Veo 3.1 Fast is a specialized, high-speed variant of Google DeepMind’s Veo 3.1 text-to-video model, optimized for rapid generation of 8-second, high-fidelity videos. It is designed to create cinematic, 1080p, or 720p content with improved prompt adherence and native audio, making it ideal for creating quick, high-quality video clips, social media content, and ad creatives.

- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/veo-3.1-fast-generate-001

### google/veo-3.1-lite-generate-001

Veo 3.1 Lite Preview is a high-efficiency, developer-first video model providing high-fidelity video generation, editing, and cinematic control. It leverages the state-of-the-art Veo 3.1 model to democratize professional-grade video AI by offering a scalable, programmable interface for creators and enterprises.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/veo-3.1-lite-generate-001

### inception/mercury-2

A diffusion-based reasoning LLM that generates text via parallel refinement (not token-by-token), delivering real-time latency with ~1k tokens/sec plus 128K context and built-in tool/JSON support.

- **Max output tokens:** 128K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/mercury-2

### inception/mercury-coder-small

Mercury Coder Small is ideal for code generation, debugging, and refactoring tasks with minimal latency.

- **Max output tokens:** 16.4K
- **Details:** https://vercel.com/ai-gateway/models/mercury-coder-small

### inclusionai/ling-3.0-flash

Ling 3.0 Flash is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers to complete more useful work within constrained token, latency, and serving-cost budgets.

- **Max output tokens:** 32K
- **Cached input cost:** $0.01/1M
- **Details:** https://vercel.com/ai-gateway/models/ling-3.0-flash

### interfaze/interfaze-beta

Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with LLMs for developer tasks that require deterministic output and high consistency like OCR, scraping, classification, STT and more.

- **Max output tokens:** 32K
- **Details:** https://vercel.com/ai-gateway/models/interfaze-beta

### klingai/kling-v2.5-turbo-i2v

Kling 2.5 Turbo is a major update to the AI video generation model focused on significantly improving speed, video quality, temporal stability, and creative control for creators, making professional-grade AI-generated video faster, more coherent, and easier to direct from text prompts.

- **Details:** https://vercel.com/ai-gateway/models/kling-v2.5-turbo-i2v

### klingai/kling-v2.5-turbo-t2v

Kling 2.5 Turbo is a major update to the AI video generation model focused on significantly improving speed, video quality, temporal stability, and creative control for creators, making professional-grade AI-generated video faster, more coherent, and easier to direct from text prompts.

- **Details:** https://vercel.com/ai-gateway/models/kling-v2.5-turbo-t2v

### klingai/kling-v2.6-i2v

Kling 2.6 introduces a groundbreaking "Native Audio" capability, enabling the generation of complete videos in a single go, including natural voice, action sound effects, and environmental ambient sounds, providing an immersive "what you see if what you hear" experience. 

- **Details:** https://vercel.com/ai-gateway/models/kling-v2.6-i2v

### klingai/kling-v2.6-motion-control

Kling 2.6 introduces a groundbreaking "Native Audio" capability, enabling the generation of complete videos in a single go, including natural voice, action sound effects, and environmental ambient sounds, providing an immersive "what you see if what you hear" experience. 

- **Details:** https://vercel.com/ai-gateway/models/kling-v2.6-motion-control

### klingai/kling-v2.6-t2v

Kling 2.6 introduces a groundbreaking "Native Audio" capability, enabling the generation of complete videos in a single go, including natural voice, action sound effects, and environmental ambient sounds, providing an immersive "what you see if what you hear" experience. 

- **Details:** https://vercel.com/ai-gateway/models/kling-v2.6-t2v

### klingai/kling-v3.0-i2v

Build upon an All-in-One product framework, the Kling 3.0 model series supports full multimodal input and output spanning text, images, audio, and video, bringing the understanding, generation, and editing of video together in one streamlined AI workflow. The models integrate multiple tasks, including text-to-video, image-to-video, reference-to-video, and in-video editing, into a single, native multimodal architecture, enabling the models to follow complex narrative logic, deliver precise shot control, and maintain strong prompt adherence.

- **Details:** https://vercel.com/ai-gateway/models/kling-v3.0-i2v

### klingai/kling-v3.0-motion-control

Kling 3.0 delivers a major leap in character fidelity for motion-driven generation, with stable facial features across multi-angle and long-duration motion, accurate complex emotions from multi-image face references, identity preservation through partial occlusions (hats, hands, fans), and steady clarity as the camera zooms, pans, or tracks.

- **Details:** https://vercel.com/ai-gateway/models/kling-v3.0-motion-control

### klingai/kling-v3.0-t2v

Build upon an All-in-One product framework, the Kling 3.0 model series supports full multimodal input and output spanning text, images, audio, and video, bringing the understanding, generation, and editing of video together in one streamlined AI workflow. The models integrate multiple tasks, including text-to-video, image-to-video, reference-to-video, and in-video editing, into a single, native multimodal architecture, enabling the models to follow complex narrative logic, deliver precise shot control, and maintain strong prompt adherence.

- **Details:** https://vercel.com/ai-gateway/models/kling-v3.0-t2v

### kwaipilot/kat-coder-air-v2.5

Fast response version of Kat Coder V2.5 optimized for Agent and Claw use cases.

- **Max output tokens:** 80K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/kat-coder-air-v2.5

### kwaipilot/kat-coder-pro-v2

A high-performance edition designed for complex enterprise projects and SaaS integration.

- **Max output tokens:** 256K
- **Cached input cost:** $0.06/1M
- **Details:** https://vercel.com/ai-gateway/models/kat-coder-pro-v2

### kwaipilot/kat-coder-pro-v2.5

KAT-Coder-V2.5 is a coding-focused agentic model trained to act autonomously inside real, executable repositories rather than as a single-turn code generator.

- **Max output tokens:** 80K
- **Cached input cost:** $0.15/1M
- **Details:** https://vercel.com/ai-gateway/models/kat-coder-pro-v2.5

### kwaipilot/kat-coder-pro-v1

KAT-Coder-Pro V1 is KwaiKAT's most advanced agentic coding model in the KwaiKAT series. Designed specifically for agentic coding tasks, it excels in real-world software engineering scenarios, achieving a remarkable 73.4% solve rate on the SWE-Bench Verified benchmark. KAT-Coder-Pro V1 delivers top-tier coding performance and has been rigorously tested by thousands of in-house engineers. The model has been optimized for tool-use capability, multi-turn interaction, instruction following, generalization and comprehensive capabilities through a multi-stage training process, including mid-training, supervised fine-tuning (SFT), reinforcement fine-tuning (RFT), and scalable agentic RL.

- **Max output tokens:** 32K
- **Cached input cost:** $0.06/1M
- **Details:** https://vercel.com/ai-gateway/models/kat-coder-pro-v1

### meta/llama-3.1-70b

An update to Meta Llama 3 70B Instruct that includes an expanded 128K context length, multilinguality and improved reasoning capabilities.

- **Max output tokens:** 16.4K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/llama-3.1-70b

### meta/llama-3.1-8b

An update to Meta Llama 3 8B Instruct that includes an expanded 128K context length, multilinguality and improved reasoning capabilities.

- **Max output tokens:** 16.4K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/llama-3.1-8b

### meta/llama-3.3-70b

Where performance meets efficiency. This model supports high-performance conversational AI designed for content creation, enterprise applications, and research, offering advanced language understanding capabilities, including text summarization, classification, sentiment analysis, and code generation.

- **Max output tokens:** 8.2K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/llama-3.3-70b

### meta/llama-4-maverick

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. Llama 4 Maverick, a 17 billion parameter model with 128 experts. Served by DeepInfra.

- **Max output tokens:** 8.2K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/llama-4-maverick

### meta/llama-4-scout

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. Llama 4 Scout, a 17 billion parameter model with 16 experts. Served by DeepInfra.

- **Max output tokens:** 8.2K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/llama-4-scout

### meta/muse-glimmer-30b



- **Max output tokens:** 131.1K
- **Cached input cost:** $0.04/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/muse-glimmer-30b

### meta/muse-spark-1.1

Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.15/1M
- **Details:** https://vercel.com/ai-gateway/models/muse-spark-1.1

### meta/muse-spark-1.2

A coding-optimized model purpose-built for agentic workflows. Improvements to code generation, debugging, and codebase understanding — with a 1M context window that handles your entire project in one session.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.15/1M
- **Details:** https://vercel.com/ai-gateway/models/muse-spark-1.2

### meta/muse-spark-1.2-contributor

A coding-optimized model with pricing designed for builders. Same model, same capabilities — up to 95% less than Standard. Your inputs and outputs are used to train and improve Meta's AI models.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.00/1M
- **Details:** https://vercel.com/ai-gateway/models/muse-spark-1.2-contributor

### minimax/minimax-h3

H3 is a next-generation open-weights, general-purpose multimodal video model. Rather than being limited to specialized tasks such as generating, editing, or referencing, H3 understands multimodal contexts that bring together text, images, video, and audio. This enables it to interpret creative intent in a unified way and deliver more natural, coherent generation and expression.

- **Details:** https://vercel.com/ai-gateway/models/minimax-h3

### minimax/minimax-m2

MiniMax-M2 redefines efficiency for agents. It is a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence.

- **Max output tokens:** 205K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2

### minimax/minimax-m2.1

MiniMax 2.1 is MiniMax's latest model, optimized specifically for robustness in coding, tool use, instruction following, and long-horizon planning.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2.1

### minimax/minimax-m2.1-lightning

MiniMax-M2.1-lightning is a faster version of MiniMax-M2.1, offering the same performance but with significantly higher throughput (output speed ~100 TPS, MiniMax-M2 output speed ~60 TPS).

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2.1-lightning

### minimax/minimax-m2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. It is capable of handling the entire development process of various complex systems. It covers full-stack projects across multiple platforms including Web, Android, iOS, Windows, and Mac, encompassing server-side APIs, functional logic, and databases.

- **Max output tokens:** 196K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2.5

### minimax/minimax-m2.5-highspeed

M2.5 highspeed: Same performance, faster and more agile (output speed approximately 100 tps)

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2.5-highspeed

### minimax/minimax-m2.7

M2.7 delivers outstanding performance in real-world software engineering, including end-to-end full project delivery, log analysis and bug troubleshooting, code security, machine learning, and more.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.06/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2.7

### minimax/minimax-m2.7-highspeed

M2.7 Highspeed: Same performance, faster and more agile (output speed approximately 100 tps)

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.06/1M
- **Details:** https://vercel.com/ai-gateway/models/minimax-m2.7-highspeed

### minimax/minimax-m3

MiniMax-M3 is a frontier-class foundation model that unites the three capabilities defining today's frontier: a 1M-token context window, frontier coding and agentic performance, and native multimodality — the first open-weight model to deliver all three in a single system.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.06/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/minimax-m3

### mistral/codestral-embed

Code embedding model that can embed code databases and repositories to power coding assistants.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/codestral-embed

### mistral/devstral-2

An enterprise-grade text model that excels at using tools to explore codebases, editing multiple files, and powering software engineering agents.

- **Max output tokens:** 256K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/devstral-2

### mistral/devstral-small-2

Our open source model that excels at using tools to explore codebases, editing multiple files, and powering software engineering agents.

- **Max output tokens:** 256K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/devstral-small-2

### mistral/magistral-medium

Complex thinking, backed by deep understanding, with transparent reasoning you can follow and verify. The model excels in maintaining high-fidelity reasoning across numerous languages, even when switching between languages mid-task.

- **Max output tokens:** 64K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/magistral-medium

### mistral/magistral-small

Complex thinking, backed by deep understanding, with transparent reasoning you can follow and verify. The model excels in maintaining high-fidelity reasoning across numerous languages, even when switching between languages mid-task.

- **Max output tokens:** 64K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/magistral-small

### mistral/ministral-14b

Ministral 3 14B is the largest model in the Ministral 3 family, offering state-of-the-art capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. Optimized for local deployment, it delivers high performance across diverse hardware, including local setups.

- **Max output tokens:** 256K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/ministral-14b

### mistral/ministral-3b

A compact, efficient model for on-device tasks like smart assistants and local analytics, offering low-latency performance.

- **Max output tokens:** 4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/ministral-3b

### mistral/ministral-8b

A more powerful model with faster, memory-efficient inference, ideal for complex workflows and demanding edge applications.

- **Max output tokens:** 4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/ministral-8b

### mistral/codestral

Mistral's cutting-edge language model for coding released end of July 2025, Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation.

- **Max output tokens:** 4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/codestral

### mistral/mistral-embed

General-purpose text embedding model for semantic search, similarity, clustering, and RAG workflows.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mistral-embed

### mistral/mistral-large-3

Mistral Large 3 2512 is Mistral’s most capable model to date. It has a sparse mixture-of-experts architecture with 41B active parameters (675B total).

- **Max output tokens:** 256K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mistral-large-3

### mistral/mistral-medium

Mistral Medium 3 delivers frontier performance while being an order of magnitude less expensive. For instance, the model performs at or above 90% of Claude Sonnet 3.7 on benchmarks across the board at a significantly lower cost.

- **Max output tokens:** 64K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mistral-medium

### mistral/mistral-medium-3.5

Mistral's frontier-class multimodal model optimized for agentic and coding use cases.

- **Max output tokens:** 256K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mistral-medium-3.5

### mistral/mistral-nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.

- **Max output tokens:** 131.1K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mistral-nemo

### mistral/mistral-small

Mistral Small is the ideal choice for simple tasks that one can do in bulk - like Classification, Customer Support, or Text Generation. It offers excellent performance at an affordable price point.

- **Max output tokens:** 4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mistral-small

### mistral/pixtral-12b

A 12B model with image understanding capabilities in addition to text.

- **Max output tokens:** 4K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/pixtral-12b

### moonshotai/kimi-k2

Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities.

- **Max output tokens:** 131.1K
- **Details:** https://vercel.com/ai-gateway/models/kimi-k2

### moonshotai/kimi-k2-thinking

Kimi K2 Thinking is an advanced open-source thinking model by Moonshot AI. It can execute up to 200 – 300 sequential tool calls without human interference, reasoning coherently across hundreds of steps to solve complex problems. Built as a thinking agent, it reasons step by step while using tools, achieving state-of-the-art performance on Humanity's Last Exam (HLE), BrowseComp, and other benchmarks, with major gains in reasoning, agentic search, coding, writing, and general capabilities.

- **Max output tokens:** 216.1K
- **Cached input cost:** $0.14/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k2-thinking

### moonshotai/kimi-k2.5

kimi-k2.5 is Kimi's most versatile model to date, featuring a native multimodal architecture that supports both visual and text input, thinking and non-thinking modes, and dialogue and agent tasks.

- **Max output tokens:** 262.1K
- **Cached input cost:** $0.10/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k2.5

### moonshotai/kimi-k2.6

Kimi K2.6 demonstrates particularly strong performance in long-horizon coding tasks and produces professional-grade design with code and vision.

- **Max output tokens:** 262.1K
- **Cached input cost:** $0.16/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k2.6

### moonshotai/kimi-k2.7-code

Kimi-K2.7-Code is a coding model from Moonshot AI. It has  improved coding & agent performance over K2.6, more reasoning efficiency with less overthinking, and improved instruction following for long-horizon coding.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.15/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k2.7-code

### moonshotai/kimi-k2.7-code-highspeed

Kimi K2.7 Code HighSpeed is the high-speed version of Kimi K2.7 Code, the same model as Kimi K2.7 Code, but with an output speed of approximately 180 Tokens/s and up to 260 Tokens/s in short context scenarios, delivering a more extreme coding experience.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.38/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k2.7-code-highspeed

### moonshotai/kimi-k3

Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window.

- **Max output tokens:** 1M
- **Cached input cost:** $0.29/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k3

### moonshotai/kimi-k3-fast

Fast version of Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window.

- **Max output tokens:** 1M
- **Cached input cost:** $0.45/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/kimi-k3-fast

### morph/morph-v3-fast

Morph offers a specialized AI model that applies code changes suggested by frontier models (like Claude or GPT-4o) to your existing code files FAST - 4500+ tokens/second. It acts as the final step in the AI coding workflow. Supports 16k input tokens and 16k output tokens.

- **Max output tokens:** 16.4K
- **Details:** https://vercel.com/ai-gateway/models/morph-v3-fast

### morph/morph-v3-large

Morph offers a specialized AI model that applies code changes suggested by frontier models (like Claude or GPT-4o) to your existing code files FAST - 2500+ tokens/second. It acts as the final step in the AI coding workflow. Supports 16k input tokens and 16k output tokens.

- **Max output tokens:** 16.4K
- **Details:** https://vercel.com/ai-gateway/models/morph-v3-large

### nvidia/nemotron-3-nano-30b-a3b

NVIDIA Nemotron 3 Nano is an open reasoning model optimized for fast, cost-efficient inference. Built with a hybrid MoE and Mamba architecture and trained on NVIDIA-curated synthetic reasoning data, it delivers strong multi-step reasoning with stable latency and predictable performance for agentic and production workloads.

- **Max output tokens:** 262.1K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/nemotron-3-nano-30b-a3b

### nvidia/nemotron-3-ultra-550b-a55b

A 550B parameter (55B active) open reasoning model from NVIDIA, built for long-running agent workflows. It uses a hybrid Mamba-Transformer MoE architecture and supports a 1M token context window.

- **Max output tokens:** 65K
- **Cached input cost:** $0.12/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/nemotron-3-ultra-550b-a55b

### nvidia/nemotron-3-super-120b-a12b

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. It delivers up to 7x higher throughput, providing fast, cost-efficient inference for agentic tasks. Additionally, a long context window gives the model long-term memory, preventing AI agents from losing focus on long, multi-step tasks and ensuring high-accuracy results. Fully open with weights, datasets, and recipes, Super allows easy customization and secure deployment anywhere.

- **Max output tokens:** 32K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/nemotron-3-super-120b-a12b

### nvidia/nemotron-nano-12b-v2-vl

The model is an auto-regressive vision language model that uses an optimized transformer architecture. The model enables multi-image reasoning and video understanding, along with strong document intelligence, visual Q&A and summarization capabilities.

- **Max output tokens:** 131.1K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/nemotron-nano-12b-v2-vl

### nvidia/nemotron-nano-9b-v2

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.\

- **Max output tokens:** 131.1K
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/nemotron-nano-9b-v2

### openai/gpt-4o-mini-search-preview

GPT-4o mini Search Preview is a specialized model trained to understand and execute web search queries with the Chat Completions API. In addition to token fees, web search queries have a fee per tool call.

- **Max output tokens:** 16.4K
- **Details:** https://vercel.com/ai-gateway/models/gpt-4o-mini-search-preview

### openai/gpt-5.1-codex-max

GPT‑5.1-Codex-Max is purpose-built for agentic coding.

- **Max output tokens:** 128K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.1-codex-max

### openai/gpt-5.1-codex-mini

GPT-5.1 Codex mini is a smaller, faster, and cheaper version of GPT-5.1 Codex.

- **Max output tokens:** 128K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.1-codex-mini

### openai/gpt-5.1-thinking

An upgraded version of GPT-5 that adapts thinking time more precisely to the question to spend more time on complex questions and respond more quickly to simpler tasks.

- **Max output tokens:** 128K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.1-thinking

### openai/gpt-5.2

GPT-5.2 is OpenAI's best general-purpose model, part of the GPT-5 flagship model family. It's their most intelligent model yet for both general and agentic tasks.

- **Max output tokens:** 128K
- **Cached input cost:** $0.17/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.2

### openai/gpt-5.2-pro

Version of GPT-5.2 that produces smarter and more precise responses.

- **Max output tokens:** 128K
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.2-pro

### openai/gpt-5.2-codex

GPT‑5.2-Codex is a version of GPT‑5.2⁠ further optimized for agentic coding in Codex, including improvements on long-horizon work through context compaction, stronger performance on large code changes like refactors and migrations, improved performance in Windows environments, and significantly stronger cybersecurity capabilities.

- **Max output tokens:** 128K
- **Cached input cost:** $0.17/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.2-codex

### openai/gpt-5.3-codex

GPT-5.3-Codex advances both the frontier coding performance of GPT‑5.2-Codex and the reasoning and professional knowledge capabilities of GPT‑5.2, together in one model, which is also 25% faster. This enables it to take on long-running tasks that involve research, tool use, and complex execution.

- **Max output tokens:** 128K
- **Cached input cost:** $0.17/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.3-codex

### openai/gpt-5.4

GPT-5.4 is OpenAI's best general-purpose model, part of the GPT-5 flagship model family. It's their most intelligent model yet for both general and agentic tasks.

- **Max output tokens:** 128K
- **Cached input cost:** $0.25/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.4

### openai/gpt-5.4-mini

GPT-5.4 Mini brings the strengths of GPT-5.4 to a faster, more efficient model designed for high-volume workloads.

- **Max output tokens:** 128K
- **Cached input cost:** $0.07/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.4-mini

### openai/gpt-5.4-nano

GPT-5.4 Nano is designed for tasks where speed and cost matter most like classification, data extraction, ranking, and sub-agents.

- **Max output tokens:** 128K
- **Cached input cost:** $0.02/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.4-nano

### openai/gpt-5.4-pro

GPT-5.4 Pro uses more compute to think harder and provide consistently better answers. It's designed to tackle tough problems.

- **Max output tokens:** 128K
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.4-pro

### openai/gpt-5.5

GPT‑5.5 understands what you’re trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished. Instead of carefully managing every step, you can give GPT‑5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going.

- **Max output tokens:** 272K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.5

### openai/gpt-5.5-pro



- **Max output tokens:** 128K
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.5-pro

### openai/gpt-5.6-luna

GPT-5.6 Luna is a fast, affordable GPT-5.6 model that brings strong capability at the lowest cost in the series.

- **Max output tokens:** 272K
- **Cached input cost:** $0.02/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.6-luna

### openai/gpt-5.6-sol

GPT-5.6 Sol is the flagship of OpenAI's GPT-5.6 series, its most capable model for long-horizon agentic work across coding, biology, and cybersecurity.

- **Max output tokens:** 272K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.6-sol

### openai/gpt-5.6-terra

GPT-5.6 Terra is a balanced GPT-5.6 model for everyday work, with performance comparable to the previous generation at half the cost.

- **Max output tokens:** 272K
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.6-terra

### openai/gpt-image-1

GPT Image 1 is OpenAI's new state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs.

- **Cached input cost:** $1.25/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-image-1

### openai/gpt-image-1-mini

A cost-efficient version of GPT Image 1. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs.

- **Cached input cost:** $0.20/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-image-1-mini

### openai/gpt-image-1.5

GPT Image 1.5 is OpenAI's latest image generation model, with better instruction following and adherence to prompts.

- **Cached input cost:** $1.25/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-image-1.5

### openai/gpt-image-2

GPT Image 2 is OpenAI's state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

- **Cached input cost:** $1.25/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-image-2

### openai/gpt-oss-120b

Extremely capable general-purpose LLM with strong, controllable reasoning capabilities

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.25/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-oss-120b

### openai/gpt-oss-20b

A compact, open-weight language model optimized for low-latency and resource-constrained environments, including local and edge deployments.

- **Max output tokens:** 128K
- **Cached input cost:** $0.04/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-oss-20b

### openai/gpt-oss-safeguard-20b

OpenAI's first open weight reasoning model specifically trained for safety classification tasks. Fine-tuned from GPT-OSS, this model helps classify text content based on customizable policies, enabling bring-your-own-policy Trust & Safety AI where your own taxonomy, definitions, and thresholds guide classification decisions.

- **Max output tokens:** 65.5K
- **Cached input cost:** $0.04/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-oss-safeguard-20b

### openai/gpt-3.5-turbo

OpenAI's most capable and cost effective model in the GPT-3.5 family optimized for chat purposes, but also works well for traditional completions tasks.

- **Max output tokens:** 4.1K
- **Details:** https://vercel.com/ai-gateway/models/gpt-3.5-turbo

### openai/gpt-4-turbo

gpt-4-turbo from OpenAI has broad general knowledge and domain expertise allowing it to follow complex instructions in natural language and solve difficult problems accurately. It has a knowledge cutoff of April 2023 and a 128,000 token context window.

- **Max output tokens:** 4.1K
- **Details:** https://vercel.com/ai-gateway/models/gpt-4-turbo

### openai/gpt-4.1

GPT 4.1 is OpenAI's flagship model for complex tasks. It is well suited for problem solving across domains.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-4.1

### openai/gpt-4.1-mini

GPT 4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.10/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-4.1-mini

### openai/gpt-4.1-nano

GPT-4.1 nano is the fastest, most cost-effective GPT 4.1 model.

- **Max output tokens:** 32.8K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-4.1-nano

### openai/gpt-4o

GPT-4o from OpenAI has broad general knowledge and domain expertise allowing it to follow complex instructions in natural language and solve difficult problems accurately. It matches GPT-4 Turbo performance with a faster and cheaper API.

- **Max output tokens:** 16.4K
- **Cached input cost:** $1.25/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-4o

### openai/gpt-4o-mini

GPT-4o mini from OpenAI is their most advanced and cost-efficient small model. It is multi-modal (accepting text or image inputs and outputting text) and has higher intelligence than gpt-3.5-turbo but is just as fast.

- **Max output tokens:** 16.4K
- **Cached input cost:** $0.07/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-4o-mini

### openai/gpt-4o-mini-transcribe

GPT-4o mini Transcribe is a speech-to-text model that uses GPT-4o mini to transcribe audio. It offers improvements to word error rate and better language recognition and accuracy compared to original Whisper models. Use it for more accurate transcripts.

- **Details:** https://vercel.com/ai-gateway/models/gpt-4o-mini-transcribe

### openai/gpt-4o-transcribe

GPT-4o Transcribe is a speech-to-text model that uses GPT-4o to transcribe audio. It offers improvements to word error rate and better language recognition and accuracy compared to original Whisper models. Use it for more accurate transcripts.

- **Details:** https://vercel.com/ai-gateway/models/gpt-4o-transcribe

### openai/gpt-5

GPT-5 is OpenAI's flagship language model that excels at complex reasoning, broad real-world knowledge, code-intensive, and multi-step agentic tasks.

- **Max output tokens:** 128K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5

### openai/gpt-5-mini

GPT-5 mini is a cost optimized model that excels at reasoning/chat tasks. It offers an optimal balance between speed, cost, and capability.

- **Max output tokens:** 128K
- **Cached input cost:** $0.03/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5-mini

### openai/gpt-5-nano

GPT-5 nano is a high throughput model that excels at simple instruction or classification tasks.

- **Max output tokens:** 128K
- **Cached input cost:** $0.01/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5-nano

### openai/gpt-5-pro

GPT-5 pro uses more compute to think harder and provide consistently better answers. Since GPT-5 pro is designed to tackle tough problems, some requests may take several minutes to finish.

- **Max output tokens:** 272K
- **Details:** https://vercel.com/ai-gateway/models/gpt-5-pro

### openai/gpt-5-codex

GPT-5-Codex is a version of GPT-5 optimized for agentic coding tasks in Codex or similar environments.

- **Max output tokens:** 128K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5-codex

### openai/gpt-5.1-codex

GPT-5.1-Codex is a version of GPT-5.1 optimized for agentic coding tasks in Codex or similar environments.

- **Max output tokens:** 128K
- **Cached input cost:** $0.13/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/gpt-5.1-codex

### openai/gpt-realtime-mini

GPT-Realtime mini is capable of responding to audio and text inputs in realtime over WebRTC, WebSocket, or SIP connections.

- **Cached input cost:** $0.06/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-realtime-mini

### openai/gpt-realtime-1.5

GPT-Realtime-1.5 is our flagship audio model for voice agents and customer support.

- **Cached input cost:** $0.40/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-realtime-1.5

### openai/gpt-realtime-2

GPT Realtime 2 is our most capable realtime voice model. It supports speech-to-speech interactions with configurable reasoning effort, stronger instruction following, and more reliable tool use for complex voice-agent workflows.

- **Cached input cost:** $0.40/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-realtime-2

### openai/gpt-realtime-2.1

GPT-Realtime-2.1 updates GPT-Realtime-2 with improved alphanumeric recognition, silence and noise handling, and interruption behavior. It supports speech-to-speech interactions with configurable reasoning effort, instruction following, and tool use for complex voice-agent workflows.

- **Max output tokens:** 32K
- **Cached input cost:** $0.40/1M
- **Details:** https://vercel.com/ai-gateway/models/gpt-realtime-2.1

### openai/gpt-realtime-whisper

GPT Realtime Whisper is a streaming speech-to-text model for applications that need low-latency transcript deltas from live audio. It is designed for realtime use cases where developers need to tune latency and accuracy. GPT Realtime Whisper is priced by audio duration rather than text tokens.

- **Details:** https://vercel.com/ai-gateway/models/gpt-realtime-whisper

### openai/o1

o1 is OpenAI's flagship reasoning model, designed for complex problems that require deep thinking. It provides strong reasoning capabilities with improved accuracy for complex multi-step tasks.

- **Max output tokens:** 100K
- **Cached input cost:** $7.50/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/o1

### openai/o3

OpenAI's o3 is their most powerful reasoning model, setting new state-of-the-art benchmarks in coding, math, science, and visual perception. It excels at complex queries requiring multi-faceted analysis, with particular strength in analyzing images, charts, and graphics.

- **Max output tokens:** 100K
- **Cached input cost:** $0.50/1M
- **Details:** https://vercel.com/ai-gateway/models/o3

### openai/o3-pro

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers.

- **Max output tokens:** 100K
- **Details:** https://vercel.com/ai-gateway/models/o3-pro

### openai/o3-deep-research

o3-deep-research is OpenAI's most advanced model for deep research, designed to tackle complex, multi-step research tasks. It can search and synthesize information from across the internet as well as from your own data—brought in through MCP connectors.

- **Max output tokens:** 100K
- **Cached input cost:** $2.50/1M
- **Details:** https://vercel.com/ai-gateway/models/o3-deep-research

### openai/o3-mini

o3-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini.

- **Max output tokens:** 100K
- **Cached input cost:** $0.55/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/o3-mini

### openai/o4-mini

OpenAI's o4-mini delivers fast, cost-efficient reasoning with exceptional performance for its size, particularly excelling in math (best-performing on AIME benchmarks), coding, and visual tasks.

- **Max output tokens:** 100K
- **Cached input cost:** $0.28/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/o4-mini

### openai/text-embedding-3-large

OpenAI's most capable embedding model for both english and non-english tasks.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/text-embedding-3-large

### openai/text-embedding-3-small

OpenAI's improved, more performant version of their ada embedding model.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/text-embedding-3-small

### openai/text-embedding-ada-002

OpenAI's legacy text embedding model.

- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/text-embedding-ada-002

### openai/tts-1

TTS is a model that converts text to natural sounding spoken text.

- **Details:** https://vercel.com/ai-gateway/models/tts-1

### openai/tts-1-hd

TTS is a model that converts text to natural sounding spoken text. The tts-1-hd model is optimized for high quality text-to-speech use cases.

- **Details:** https://vercel.com/ai-gateway/models/tts-1-hd

### openai/whisper-1

Whisper is a general-purpose speech recognition model, trained on a large dataset of diverse audio. You can also use it as a multitask model to perform multilingual speech recognition as well as speech translation and language identification.

- **Details:** https://vercel.com/ai-gateway/models/whisper-1

### perplexity/pplx-embed-v1-0.6b

pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.

- **Details:** https://vercel.com/ai-gateway/models/pplx-embed-v1-0.6b

### perplexity/pplx-embed-v1-4b

pplx-embed-v1 is a state-of-the-art text embedding model optimized for real-world, web-scale retrieval tasks.

- **Details:** https://vercel.com/ai-gateway/models/pplx-embed-v1-4b

### perplexity/sonar

Perplexity's lightweight offering with search grounding, quicker and cheaper than Sonar Pro.

- **Max output tokens:** 8K
- **Details:** https://vercel.com/ai-gateway/models/sonar

### perplexity/sonar-pro

Perplexity's premier offering with search grounding, supporting advanced queries and follow-ups.

- **Max output tokens:** 8K
- **Details:** https://vercel.com/ai-gateway/models/sonar-pro

### perplexity/sonar-reasoning-pro

A premium reasoning-focused model that outputs Chain of Thought (CoT) in responses, providing comprehensive explanations with enhanced search capabilities and multiple search queries per request.

- **Max output tokens:** 8K
- **Details:** https://vercel.com/ai-gateway/models/sonar-reasoning-pro

### poolside/laguna-s-2.1

Laguna S 2.1 is Poolside's new open-weight model for agentic coding and long-horizon work.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.01/1M
- **Details:** https://vercel.com/ai-gateway/models/laguna-s-2.1

### poolside/laguna-s-2.1-free

Laguna S 2.1 is Poolside's new open-weight model for agentic coding and long-horizon work.

- **Max output tokens:** 32.8K
- **Details:** https://vercel.com/ai-gateway/models/laguna-s-2.1-free

### prodia/flux-fast-schnell

Lightning-fast image generation

- **Details:** https://vercel.com/ai-gateway/models/flux-fast-schnell

### quiverai/arrow-1.1

Best default for speed and quality, with stronger prompt following and more precise SVG structure.

- **Max output tokens:** 131.1K
- **Details:** https://vercel.com/ai-gateway/models/arrow-1.1

### recraft/recraft-v2

Recraft V2 is an image generation model released in March 2024 and the first model trained from scratch by Recraft. With 20 billion parameters, it was a breakthrough in human anatomical accuracy and the first to support brand consistency and brand color inputs. It also introduced vector image generation (SVG output), as well as minimalistic icon and illustration styles.

- **Image cost:** $0.02/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v2

### recraft/recraft-v3

V3 introduced major advances in photorealism and text rendering. It was the first Recraft model to generate mid-size text accurately and, as of 2025, is the only model capable of placing text at specific positions in an image.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v3

### recraft/recraft-v4

The model delivers strong photorealism, including realistic skin rendering and natural textures, while avoiding common synthetic artifacts. It produces more distinctive lighting, composition, diverse subjects, contemporary styling, and carefully considered scene elements. For illustration, it generates original characters and forms with sophisticated and unexpected color combinations.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v4

### recraft/recraft-v4-pro

The model delivers strong photorealism, including realistic skin rendering and natural textures, while avoiding common synthetic artifacts. It produces more distinctive lighting, composition, diverse subjects, contemporary styling, and carefully considered scene elements. For illustration, it generates original characters and forms with sophisticated and unexpected color combinations.

- **Image cost:** $0.25/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v4-pro

### recraft/recraft-v4.1

V4.1 is built on the same visual aesthetic and the same eye for what looks right, just pushed further across every dimension. The photorealism is more natural. The gradients are dreamier. Illustration styles are now possible that simply weren't before. And this is a model that reads a short prompts easier and creates something worth stopping for.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v4.1

### recraft/recraft-v4.1-pro

V4.1 is built on the same visual aesthetic and the same eye for what looks right, just pushed further across every dimension. The photorealism is more natural. The gradients are dreamier. Illustration styles are now possible that simply weren't before. And this is a model that reads a short prompts easier and creates something worth stopping for. V4.1 Pro generates higher-resolution images for when the idea deserves more room.

- **Image cost:** $0.21/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v4.1-pro

### recraft/recraft-v4.1-utility

V4.1 is built on the same visual aesthetic and the same eye for what looks right, just pushed further across every dimension. The photorealism is more natural. The gradients are dreamier. Illustration styles are now possible that simply weren't before. And this is a model that reads a short prompts easier and creates something worth stopping for. V4.1 Utility is designed for when restraint is the aesthetic choice, with flat lighting, front-facing composition, and simple, controlled scenes.

- **Image cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v4.1-utility

### recraft/recraft-v4.1-utility-pro

V4.1 is built on the same visual aesthetic and the same eye for what looks right, just pushed further across every dimension. The photorealism is more natural. The gradients are dreamier. Illustration styles are now possible that simply weren't before. And this is a model that reads a short prompts easier and creates something worth stopping for. V4.1 Utility is designed for when restraint is the aesthetic choice, with flat lighting, front-facing composition, and simple, controlled scenes.

- **Image cost:** $0.21/1M
- **Details:** https://vercel.com/ai-gateway/models/recraft-v4.1-utility-pro

### sakana/fugu-ultra

Fugu Ultra coordinates a deeper pool of expert agents to maximize answer quality on hard, high-stakes problems. Fugu Ultra focuses on maximizing performance, for a higher cost. It routes between one to three agents, depending on the problem.

- **Max output tokens:** 1M
- **Cached input cost:** $0.50/1M
- **Details:** https://vercel.com/ai-gateway/models/fugu-ultra

### sakana/namazu

Sakana Namazu is a Japanese-specialized LLM that combines a deep understanding of Japanese culture and business customs with high-performance language capabilities. Built on the open model Kimi K2.6 and refined with Sakana AI's in-house data for Japanese language and business workflows, it handles complex tasks using web search and code execution. Unlike Fugu, which orchestrates multiple frontier models, Sakana Namazu provides a single in-house model as an API.

- **Max output tokens:** 256K
- **Cached input cost:** $0.15/1M
- **Details:** https://vercel.com/ai-gateway/models/namazu

### stepfun/step-3.7-flash

StepFun’s flagship multimodal reasoning model. Powered by a 198B-parameter / 11B-activation sparse MoE architecture, with native support for image and video understanding.

- **Max output tokens:** 256K
- **Cached input cost:** $0.04/1M
- **Details:** https://vercel.com/ai-gateway/models/step-3.7-flash

### stepfun/step-3.5-flash

Step 3.5 Flash is an open-source reasoning model by StepFun with 196B total parameters (11B active) using Mixture of Experts. It features a 256K context window, deep reasoning, tool calling, and agentic capabilities, achieving 97.3 on AIME 2025 and 74.4% on SWE-bench Verified.

- **Max output tokens:** 262.1K
- **Cached input cost:** $0.02/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/step-3.5-flash

### tencent/hy3



- **Max output tokens:** 262.1K
- **Cached input cost:** $0.04/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/hy3

### thinkingmachines/inkling

Inkling is a multimodal MoE model (975B total, 41B active, 256k context) reasoning over text, image, and audio inputs.

- **Max output tokens:** 262.1K
- **Cached input cost:** $0.17/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/inkling

### thinkingmachines/inkling-small

Inkling-Small is a lighter-weight model with 12B active parameters, trained with a similar recipe, to Inkling that achieves strong performance with even lower cost and latency.

- **Max output tokens:** 1M
- **Cached input cost:** $0.10/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/inkling-small

### voyage/voyage-3.5

Voyage AI's embedding model optimized for general-purpose and multilingual retrieval quality.

- **Details:** https://vercel.com/ai-gateway/models/voyage-3.5

### voyage/voyage-3.5-lite

Voyage AI's embedding model optimized for latency and cost.

- **Details:** https://vercel.com/ai-gateway/models/voyage-3.5-lite

### voyage/voyage-4

Optimized for general-purpose and multilingual retrieval quality. All embeddings created with the 4 series are compatible with each other.

- **Details:** https://vercel.com/ai-gateway/models/voyage-4

### voyage/voyage-4-large

The best general-purpose and multilingual retrieval quality. All embeddings created with the 4 series are compatible with each other.

- **Details:** https://vercel.com/ai-gateway/models/voyage-4-large

### voyage/voyage-4-lite

Optimized for latency and cost. All embeddings created with the 4 series are compatible with each other.

- **Details:** https://vercel.com/ai-gateway/models/voyage-4-lite

### voyage/voyage-code-2

Voyage AI's embedding model optimized for code retrieval (17% better than alternatives). This is the previous generation of code embeddings models.

- **Details:** https://vercel.com/ai-gateway/models/voyage-code-2

### voyage/voyage-code-3

Voyage AI's embedding model optimized for code retrieval.

- **Details:** https://vercel.com/ai-gateway/models/voyage-code-3

### voyage/voyage-finance-2

Voyage AI's embedding model optimized for finance retrieval and RAG.

- **Details:** https://vercel.com/ai-gateway/models/voyage-finance-2

### voyage/voyage-law-2

Voyage AI's embedding model optimized for legal retrieval and RAG.

- **Details:** https://vercel.com/ai-gateway/models/voyage-law-2

### voyage/rerank-2.5

A generalist reranker optimized for quality with instruction-following and multilingual support.

- **Max output tokens:** 32K
- **Details:** https://vercel.com/ai-gateway/models/rerank-2.5

### voyage/rerank-2.5-lite

A generalist reranker optimized for both latency and quality with instruction-following and multilingual support.

- **Max output tokens:** 32K
- **Details:** https://vercel.com/ai-gateway/models/rerank-2.5-lite

### voyage/voyage-3-large

Voyage AI's embedding model with the best general-purpose and multilingual retrieval quality.

- **Details:** https://vercel.com/ai-gateway/models/voyage-3-large

### xai/grok-4.1-fast-non-reasoning



- **Max output tokens:** 1M
- **Cached input cost:** $0.05/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/grok-4.1-fast-non-reasoning

### xai/grok-4.1-fast-reasoning



- **Max output tokens:** 1M
- **Cached input cost:** $0.05/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/grok-4.1-fast-reasoning

### xai/grok-4.20-non-reasoning-beta

Grok 4.20 Beta is the newest flagship model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses.

- **Max output tokens:** 2M
- **Cached input cost:** $0.20/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-4.20-non-reasoning-beta

### xai/grok-4.20-reasoning-beta

Grok 4.20 Beta is the newest flagship model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses.

- **Max output tokens:** 2M
- **Cached input cost:** $0.20/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-4.20-reasoning-beta

### xai/grok-4.20-multi-agent-beta

Multiple agents collaborate in parallel to perform deep research tasks.

- **Max output tokens:** 2M
- **Cached input cost:** $0.20/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-4.20-multi-agent-beta

### xai/grok-4.20-multi-agent

Multiple agents collaborate in parallel to perform deep research tasks.

- **Max output tokens:** 2M
- **Cached input cost:** $0.20/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-4.20-multi-agent

### xai/grok-4.20-non-reasoning

Grok 4.20 Beta is the newest flagship model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherence, delivering consistently precise and truthful responses.

- **Max output tokens:** 2M
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/grok-4.20-non-reasoning

### xai/grok-4.20-reasoning

Grok 4.20 Beta is the newest flagship model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherence, delivering consistently precise and truthful responses.

- **Max output tokens:** 2M
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/grok-4.20-reasoning

### xai/grok-4.3

Grok 4.3 is a new model matching the scale of Grok 4.20 with an improved architecture and a December 2025 knowledge cutoff.

- **Max output tokens:** 1M
- **Cached input cost:** $0.20/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/grok-4.3

### xai/grok-4.5

SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.

- **Max output tokens:** 500K
- **Cached input cost:** $0.30/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-4.5

### xai/grok-4.6

Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work. It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished application or work artifact.

- **Max output tokens:** 500K
- **Cached input cost:** $0.50/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-4.6

### xai/grok-build-0.1

xAI's fast coding model trained specifically for agentic coding.

- **Max output tokens:** 256K
- **Cached input cost:** $0.20/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-build-0.1

### xai/grok-imagine-video

State-of-the-art video generation across quality, cost, and latency. Grok Imagine is x.AI's most powerful video-audio generative model yet. Bring an image to life, start from a simple text prompt, or even refine a complex cinematic sequence.

- **Details:** https://vercel.com/ai-gateway/models/grok-imagine-video

### xai/grok-imagine-image

Generate high-quality images from text prompts with xAI's imagine API.

- **Image cost:** $0.02/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-imagine-image

### xai/grok-imagine-image-2.0



- **Image cost:** $0.06/1M
- **Details:** https://vercel.com/ai-gateway/models/grok-imagine-image-2.0

### xai/grok-imagine-video-1.5



- **Details:** https://vercel.com/ai-gateway/models/grok-imagine-video-1.5

### xai/grok-imagine-video-1.5-preview



- **Details:** https://vercel.com/ai-gateway/models/grok-imagine-video-1.5-preview

### xai/grok-stt

Transcribe audio to text in 25 languages with batch and streaming modes.

- **Details:** https://vercel.com/ai-gateway/models/grok-stt

### xai/grok-tts

Generate speech with 5 expressive voices, speech tags, and telephony codecs.

- **Details:** https://vercel.com/ai-gateway/models/grok-tts

### xai/grok-voice-think-fast-1.0

Build real-time voice applications powered by Grok. Stream audio and text bidirectionally via WebSocket for voice assistants, phone agents, and interactive voice systems.

- **Details:** https://vercel.com/ai-gateway/models/grok-voice-think-fast-1.0

### xai/grok-voice-think-fast-2.0

Grok Voice Think Fast 2.0, our next-generation voice model with improved intelligence, transcription accuracy, and conversational capabilities.

- **Details:** https://vercel.com/ai-gateway/models/grok-voice-think-fast-2.0

### xiaomi/mimo-v2.5

A native full-modal model supporting text, image, video, and audio understanding, with powerful Agent capabilities.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mimo-v2.5

### xiaomi/mimo-v2.5-pro

MiMo V2.5 Pro delivers significant improvements over its predecessor, MiMo-V2-Pro, in general agentic capabilities, complex software engineering, and long-horizon tasks. MiMo-V2.5-Pro is a 1.02T-parameter Mixture-of-Experts model with 42B active parameters, built on a hybrid-attention architecture with a 1M-token context window.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.00/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/mimo-v2.5-pro

### zai/glm-4.5

GLM-4.5 and GLM-4.5-Air are our latest flagship models, purpose-built as foundational models for agent-oriented applications. Both leverage a Mixture-of-Experts (MoE) architecture. GLM-4.5 has a total parameter count of 355B with 32B active parameters per forward pass, while GLM-4.5-Air adopts a more streamlined design with 106B total parameters and 12B active parameters.

- **Max output tokens:** 96K
- **Cached input cost:** $0.11/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-4.5

### zai/glm-4.5-air

GLM-4.5 and GLM-4.5-Air are our latest flagship models, purpose-built as foundational models for agent-oriented applications. Both leverage a Mixture-of-Experts (MoE) architecture. GLM-4.5 has a total parameter count of 355B with 32B active parameters per forward pass, while GLM-4.5-Air adopts a more streamlined design with 106B total parameters and 12B active parameters.

- **Max output tokens:** 96K
- **Cached input cost:** $0.03/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-4.5-air

### zai/glm-4.5v

Built on the GLM-4.5-Air base model, GLM-4.5V inherits proven techniques from GLM-4.1V-Thinking while achieving effective scaling through a powerful 106B-parameter MoE architecture.

- **Max output tokens:** 16.4K
- **Cached input cost:** $0.11/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-4.5v

### zai/glm-4.6

As the latest iteration in the GLM series, GLM-4.6 achieves comprehensive enhancements across multiple domains, including real-world coding, long-context processing, reasoning, searching, writing, and agentic applications.

- **Max output tokens:** 202.8K
- **Cached input cost:** $0.11/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-4.6

### zai/glm-4.7

GLM-4.7 is Z.ai’s latest flagship model, with major upgrades focused on two key areas: stronger coding capabilities and more stable multi-step reasoning and execution.

- **Max output tokens:** 131.1K
- **Cached input cost:** $2.25/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-4.7

### zai/glm-4.7-flash

GLM-4.7-Flash balances high performance with efficiency, making it the perfect lightweight deployment option. Beyond coding, it is also recommended for creative writing, translation, long-context tasks, and roleplay.

- **Max output tokens:** 131K
- **Cached input cost:** $0.01/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-4.7-flash

### zai/glm-4.7-flashx

 GLM-4.7-Flash balances high performance with efficiency, making it the perfect lightweight deployment option. 

- **Max output tokens:** 128K
- **Cached input cost:** $0.01/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-4.7-flashx

### zai/glm-5

GLM-5 is Zai’s new-generation flagship foundation model, designed for Agentic Engineering, capable of providing reliable productivity in complex system engineering and long-range Agent tasks. In terms of Coding and Agent capabilities, GLM-5 has achieved state-of-the-art (SOTA) performance in open source, with its usability in real programming scenarios approaching that of Claude Opus 4.5.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.16/1M
- **Zero data retention:** available
- **HIPAA compliant:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-5

### zai/glm-5-turbo

GLM 5 Turbo is a foundation model deeply optimized for the OpenClaw scenario. It has been specifically optimized for the core requirements of OpenClaw tasks since the training phase, enhancing key capabilities such as tool invocation, command following, timed and persistent tasks, and long-chain execution.

- **Max output tokens:** 131.1K
- **Cached input cost:** $0.24/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-5-turbo

### zai/glm-5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours—autonomously planning, executing, and improving itself throughout the process—ultimately delivering complete, engineering-grade results.

- **Max output tokens:** 202.8K
- **Cached input cost:** $0.26/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-5.1

### zai/glm-5.2

GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks.

- **Max output tokens:** 1.0M
- **Cached input cost:** $0.14/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-5.2

### zai/glm-5.2-fast

Fast version of GLM 5.2 with 120-250 TPS.

- **Max output tokens:** 128K
- **Cached input cost:** $0.21/1M
- **Zero data retention:** available
- **Details:** https://vercel.com/ai-gateway/models/glm-5.2-fast

### zai/glm-5v-turbo

GLM-5V-Turbo is Z.AI’s first multimodal coding foundation model, built for vision-based coding tasks. It can natively process multimodal inputs such as images, video, and text, while also excelling at long-horizon planning, complex coding, and action execution. Deeply optimized for agent workflows, it works seamlessly with agents such as Claude Code and OpenClaw to complete the full loop of “understand the environment → plan actions → execute tasks”.

- **Max output tokens:** 128K
- **Cached input cost:** $0.24/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-5v-turbo

### zai/glm-4.6v

GLM-4.6V series are Z.ai’s iterations in a multimodal large language model. GLM-4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual understanding among models of similar parameter scales.

- **Max output tokens:** 24K
- **Cached input cost:** $0.05/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-4.6v

### zai/glm-4.6v-flash

For local deployment and low-latency applications. GLM-4.6V series are Z.ai’s iterations in a multimodal large language model. GLM-4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual understanding among models of similar parameter scales.

- **Max output tokens:** 24K
- **Cached input cost:** $0.00/1M
- **Details:** https://vercel.com/ai-gateway/models/glm-4.6v-flash

### exa/search

Search the web with Exa's neural search API, returning LLM-optimized, ranked results with content excerpts. Use it as a built-in tool through the AI Gateway to give any model access to real-time web information.

- **Details:** https://vercel.com/ai-gateway/models/search

### perplexity/search

Search the web using Perplexity's Search API for real-time information, news, research papers, and articles. Provides ranked search results with advanced filtering options including domain, language, date range, and recency filters.

- **Details:** https://vercel.com/ai-gateway/models/search

### parallel/search

Search the web using Parallel AI's Search API for LLM-optimized excerpts. Takes a natural language objective and returns relevant excerpts, replacing multiple keyword searches with a single call for broad or complex queries.

- **Details:** https://vercel.com/ai-gateway/models/search