[Morph](/ai-gateway/models/labs/morph) # Morph V3 Large Morph V3 Large applies code edit suggestions to source files with about 98% merge accuracy on complex multi-scope edits. It supports 81.9K tokens input and 16.4K tokens output. On AI Gateway, pay $0.9 per million input tokens and $1.9 per million output tokens. Your use is subject to Morph's [Terms](https://www.morphllm.com/privacy/tos) & [Privacy](https://www.morphllm.com/privacy) 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) AI SDKChat CompletionsMessagesResponses ``` 1import { streamText } from 'ai' 2 3const result = streamText({ 4 model: 'morph/morph-v3-large', 5 prompt: 'Why is the sky blue?' 6}) ``` [Read docs](https://vercel.com/docs/ai-gateway/sdks-and-apis/ai-sdk) [Overview](/ai-gateway/models/morph-v3-large) [API](/ai-gateway/models/morph-v3-large/api) [About](/ai-gateway/models/morph-v3-large/about) [Providers](/ai-gateway/models/morph-v3-large/providers) [Latency](/ai-gateway/models/morph-v3-large/latency) [Uptime](/ai-gateway/models/morph-v3-large/uptime) [Status](/ai-gateway/models/morph-v3-large/status) [Similar](/ai-gateway/models/morph-v3-large/similar) [FAQ](/ai-gateway/models/morph-v3-large/faq) ## [Copy link to heading](#playground)Playground Try out Morph V3 Large by Morph. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days. ![morph logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fmorph.png&w=48&q=75)Morph V3 Large ![morph logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fmorph.png&w=96&q=75) Morph V3 Large ## [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 | Max Output | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | ZDR | No Training | Free Tier | Release Date | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![morph logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fmorph.png&w=48&q=75) [Morph](/ai-gateway/models/providers/morph) Legal:[Terms](https://www.morphllm.com/privacy/tos)•[Privacy](https://www.morphllm.com/privacy) | 82K | 16K | 0.3s | | $0.90/M | $1.90/M | | — | | | | | 07/07/2025 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ## [Copy link to heading](#throughput)Throughput24 hours 1W 1D P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) for more info. ## [Copy link to heading](#latency)Latency24 hours 1W 1D P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) for more info. ## [Copy link to heading](#uptime)Uptime24 hours 1W 1D 1H Direct request success rate on AI Gateway and per-provider. Visit the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/uptime) for more info. 1W 1D 1H ## [Copy link to heading](#more-models-by-morph)More models by Morph All Text | Model | | --- | | Context | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | Providers | ZDR | No Training | Free Tier | Release Date | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![morph logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fmorph.png&w=48&q=75) [morph/morph\-v3-fast](/ai-gateway/models/morph-v3-fast) | 82K | 0.2s | 4868tps | $0.80/M | $1.20/M | | — | | ![morph logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fmorph.png&w=48&q=75) | | | | 07/07/2025 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ## [Copy link to heading](#about-morph-v3-large)About Morph V3 Large Morph V3 Large is the accuracy-optimized half of the Fast Apply pair. Both models share the same core concept: a model trained to merge AI-generated edit snippets into source files. v3 Large allocates more capacity to difficult cases. Morph's benchmarks cite about 98% merge accuracy on this task versus general-purpose code models they tested. Versus v3 Fast, v3 Large runs at roughly half the speed and costs $0.9 per million input tokens and $1.9 per million output tokens on this page. v3 Fast lists lower per-token rates on AI Gateway; open that model page to compare. For simple single-scope edits, the extra cost buys little because Fast already handles them. For edits that cause merge failures (multi-scope changes, overlapping regions, refactors that redistribute code across functions, files with highly repetitive structures), the added accuracy reduces broken builds, failed tests, and rework. Morph also ships an `auto` model that routes between Fast and Large from detected edit complexity. If you don't want to classify edits yourself, start with `auto`. Pick v3 Large when you know edits are complex, when v3 Fast failed on specific patterns, or when a failed merge is costlier than the extra per-token spend. See https://morphllm.com/ and https://morphllm.com/blog/what-is-morph-for for product context. ## [Copy link to heading](#what-to-consider-when-choosing-a-provider)What To Consider When Choosing a Provider - Configuration: Like v3 Fast, v3 Large is a single-purpose code merging model. Place it in the file-write layer of a coding agent architecture, not as a standalone assistant. - 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-morph-v3-large)When to Use Morph V3 Large ### Best for - Multi-scope refactors: Edits modify several functions or classes within a single file at once - Repetitive pattern edits: Similar method signatures, templated code, or generated boilerplate where merge ambiguity is high - High-cost merge failures: Pipelines where a failed merge triggers broken CI, rollback, or manual review - Fast variant fallback: Fallback for edit patterns where v3 Fast has produced incorrect output ### Consider alternatives when - Simple single-scope edits: V3 Fast handles these at about twice the speed for lower cost - Hands-off routing: Morph's `auto` routing picks the model automatically - General-purpose model: You need a code generation or chat model rather than a merge tool ## [Copy link to heading](#conclusion)Conclusion Morph V3 Large reduces bad merges on complex edits that break search-and-replace, trip faster models, or introduce subtle bugs. Use it when merge correctness has clear downstream cost. For simple edits, v3 Fast stays the cheaper default.