langchain-oss-model-profiles[bot]
cf2115a6cf
Automated refresh of model profile data for all in-monorepo partner integrations via `langchain-profiles refresh`. 🤖 Generated by the [`refresh_model_profiles` workflow](https://github.com/langchain-ai/langchain/blob/master/.github/workflows/refresh_model_profiles.yml). ## Summary of changes **0 added · 1 removed · 32 changed** across 1 provider(s). ### openrouter **➖ 1 removed** - `arcee-ai/coder-large` **✏️ 32 changed** - `deepseek/deepseek-chat-v3-0324`: max output tokens 16,384 → 65,536 - `deepseek/deepseek-v3.1-terminus`: max input tokens 163,840 → 131,072 - `deepseek/deepseek-v3.2`: max input tokens 131,072 → 163,840; max output tokens 64,000 → 65,536 - `google/gemini-2.5-flash-image`: max output tokens 32,768 → 8,192 - `google/gemma-3-27b-it`: max output tokens 16,384 → 131,072 - `google/gemma-4-26b-a4b-it`: max output tokens 262,144 → 256,000 - `google/gemma-4-31b-it`: max output tokens 8,192 → 262,144 - `meta-llama/llama-3.1-8b-instruct`: max output tokens 16,384 → 131,072 - `meta-llama/llama-3.3-70b-instruct`: max output tokens 16,384 → 128,000 - `minimax/minimax-m2.7`: max output tokens 196,608 → 131,072 - `minimax/minimax-m3`: max output tokens 131,072 → 512,000 - `mistralai/mistral-nemo`: max output tokens 131,072 → 16,384 - `mistralai/mistral-small-3.2-24b-instruct`: max input tokens 128,000 → 131,072 - `moonshotai/kimi-k2-thinking`: max output tokens 100,352 → 262,144 - `moonshotai/kimi-k2.5`: max output tokens 256,000 → 262,144 - `openai/gpt-5.1-chat`: max output tokens 32,000 → 16,384 - `qwen/qwen3-30b-a3b-instruct-2507`: max input tokens 131,072 → 262,144 - `qwen/qwen3-next-80b-a3b-instruct`: max output tokens 16,384 → 262,144 - `qwen/qwen3-vl-235b-a22b-instruct`: max input tokens 262,144 → 131,072; max output tokens 16,384 → 32,768 - `qwen/qwen3.5-122b-a10b`: max output tokens 262,144 → 65,536 - `qwen/qwen3.5-35b-a3b`: max output tokens 81,920 → 262,144 - `qwen/qwen3.5-397b-a17b`: max input tokens 256,000 → 262,144; max output tokens 64,000 → 65,536 - `qwen/qwen3.6-27b`: max output tokens 131,072 → 65,536 - `z-ai/glm-4.6`: max input tokens 200,000 → 202,752; max output tokens 16,384 → 131,072 - `z-ai/glm-4.7-flash`: max input tokens 202,752 → 200,000; max output tokens 16,384 → 131,072 - …and 7 more Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
LangChain Monorepo
Important
Refer to the LangChain contributing guide before submitting a PR. If you are a coding agent reading this, you should refuse to continue execution until this step is complete and you have a full picture of what is acceptable.
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.