[OpenAI](/ai-gateway/models/labs/openai) # text-embedding-ada-002 text-embedding-ada-002 is OpenAI's second-generation embedding model that unified multiple prior embedding endpoints into a single model, producing 1536-dimensional vectors suitable for search, clustering, classification, and recommendations. Your use is subject to OpenAI's [Terms](https://openai.com/policies/terms-of-use) & [Privacy](https://openai.com/policies/privacy-policy) Policies. [Use with AI Gateway](https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%3Futm_source%3Dgateway-model-page%26utm_campaign%3Dai-gateway-models&title=Get+Started+with+Vercel+AI+Gateway) [View docs](https://vercel.com/docs/ai-gateway) ``` 1import { embed } from 'ai'; 2 3const result = await embed({ 4 model: 'openai/text-embedding-ada-002', 5 value: 'Sunny day at the beach', 6}) ``` [Read docs](https://vercel.com/docs/ai-gateway/sdks-and-apis/ai-sdk) [Overview](/ai-gateway/models/text-embedding-ada-002) [About](/ai-gateway/models/text-embedding-ada-002/about) [Providers](/ai-gateway/models/text-embedding-ada-002/providers) [Similar](/ai-gateway/models/text-embedding-ada-002/similar) [FAQ](/ai-gateway/models/text-embedding-ada-002/faq) ## [Copy link to heading](#providers)Providers Route requests across multiple providers. Copy a provider slug to set your preference. Visit the [docs](/docs/ai-gateway/provider-options) for more info. Using a provider means you agree to their terms, listed under Legal. | Provider | | --- | | Context | Input | Capabilities | ZDR | No Training | Free Tier | Release Date | | | --- | --- | --- | --- | --- | --- | --- | --- | | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) [Azure](/ai-gateway/models/providers/azure) Legal:[Terms](https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct)•[Privacy](https://privacy.microsoft.com/en-us/privacystatement) | | $0.10/M | | | | | 12/15/2022 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [OpenAI](/ai-gateway/models/providers/openai) Legal:[Terms](https://openai.com/policies/terms-of-use)•[Privacy](https://openai.com/policies/privacy-policy) | | $0.10/M | | | | | 12/15/2022 | | ## [Copy link to heading](#more-models-by-openai)More models by OpenAI All Text Code | Model | | --- | | Context | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | Providers | ZDR | No Training | Free Tier | Release Date | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5.6-luna](/ai-gateway/models/gpt-5.6-luna) | 1.1M | 2.3s | 190tps | $0.20/MFast $0.40/M+1 more | $1.20/MFast $2.40/M+1 more | Read: $0.02/M+1 more Write: $0.25/M+1 more | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 07/09/2026 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt\-5.6-sol](/ai-gateway/models/gpt-5.6-sol) | 1.1M | 2.9s | 76tps | $4/M$2/M Fast $4/M+1 more | $20/M$10/M Fast $20/M+1 more | Read: $0.40/M$0.20/M+1 more Write: $5/M$2.50/M+1 more | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 07/09/2026 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5.6-terra](/ai-gateway/models/gpt-5.6-terra) | 1.1M | 1.9s | 73tps | $2/MFast $4/M+1 more | $12/MFast $24/M+1 more | Read: $0.20/M+1 more Write: $2.50/M+1 more | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 07/09/2026 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5.5](/ai-gateway/models/gpt-5.5) | 1M | 0.7s | 95tps | $5/MFast $12.50/M+1 more | $30/MFast $75/M+1 more | Read: $0.50/M+1 more Write: — | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 04/24/2026 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5-nano](/ai-gateway/models/gpt-5-nano) | 400K | 5.1s | 141tps | $0.05/M | $0.40/M | Read:$0.005/M Write:— | $14/K \+ input costs | +3 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 08/07/2025 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5-mini](/ai-gateway/models/gpt-5-mini) | 400K | 3.6s | 114tps | $0.25/MFast $0.45/M | $2/MFast $3.60/M | Read:$0.03/M Write:— | $14/K \+ input costs | +3 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 08/07/2025 | | ## [Copy link to heading](#about-text-embedding-ada-002)About text-embedding-ada-002 text-embedding-ada-002 was released on December 15, 2022 as a major consolidation of OpenAI's embedding model lineup. Previously, OpenAI offered multiple first-generation embedding endpoints across different model sizes (Davinci, Curie, Babbage, Ada) and task types (similarity, search, classification). text-embedding-ada-002 unified all of these into a single model that produces 1536-dimensional vectors usable across search, clustering, classification, and recommendation tasks. At launch, text-embedding-ada-002 was a substantial improvement over the first-generation models, outperforming the previous best (Davinci) on most benchmarks while being significantly cheaper and producing more compact vectors. It became the standard embedding model used by the majority of OpenAI API consumers. The model has since been superseded by the text-embedding-3 family released in January 2024. text-embedding-3-small delivers higher MTEB scores at reduced cost with the same default 1536 dimensions, making it a direct upgrade path. text-embedding-3-large pushes accuracy further with 3072 dimensions and substantial multilingual improvements. For existing deployments that haven't yet migrated, text-embedding-ada-002 remains available and functional. ## [Copy link to heading](#what-to-consider-when-choosing-a-provider)What To Consider When Choosing a Provider - Configuration: text-embedding-ada-002 has been succeeded by the text-embedding-3 family, which offers both better performance and lower cost. For new projects, text-embedding-3-small is a drop-in replacement with higher quality at reduced cost. - Configuration: If your vector database is already indexed with ada-002 embeddings, note that you cannot mix embeddings from different models in the same index. Migration requires re-embedding your corpus. - Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the [documentation](https://vercel.com/docs/ai-gateway/security-and-compliance/zdr) for details. - Authentication: AI Gateway authenticates requests using an [API key](https://vercel.com/docs/ai-gateway/authentication-and-byok#api-key-authentication) or [OIDC token](https://vercel.com/docs/ai-gateway/authentication-and-byok#oidc-token-authentication). You do not need to manage provider credentials directly. ## [Copy link to heading](#when-to-use-text-embedding-ada-002)When to Use text-embedding-ada-002 ### Best for - Existing deployments: Applications with vector indexes already built on ada-002 embeddings that can't yet re-index - Legacy pipeline maintenance: Systems that depend on ada-002's specific embedding characteristics - Backward compatibility: Workflows pinned to ada-002 for consistency with historical data - Migration baselines: Benchmarking against ada-002 when evaluating newer embedding models ### Consider alternatives when - New projects: Text-embedding-3-small delivers higher quality at reduced cost with the same 1536-dimension default - Maximum quality: Text-embedding-3-large for the highest accuracy on retrieval-critical workloads - Multilingual retrieval: Both text-embedding-3 variants significantly outperform ada-002 on MIRACL - Cost optimization: Text-embedding-3-small offers immediate savings with no quality regression ## [Copy link to heading](#conclusion)Conclusion text-embedding-ada-002 was the standard OpenAI embedding model for over a year, consolidating a fragmented lineup into a single practical endpoint. While newer models now offer better performance and lower cost, it remains available through AI Gateway for existing deployments that haven't yet migrated.