Files
langchain/libs/partners
langchain-oss-model-profiles[bot] 2f527debdd chore(model-profiles): refresh model profile data (#38774)
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

**11 added · 4 removed · 44 changed** across 2 provider(s).

<details>
<summary>openai</summary>

** 4 added**
- `gpt-5.6` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning,
tools
- `gpt-5.6-luna` — 1,050,000 ctx, 128,000 out, text+image+pdf in,
reasoning, tools
- `gpt-5.6-sol` — 1,050,000 ctx, 128,000 out, text+image+pdf in,
reasoning, tools
- `gpt-5.6-terra` — 1,050,000 ctx, 128,000 out, text+image+pdf in,
reasoning, tools

</details>

<details>
<summary>openrouter</summary>

** 7 added**
- `cognitivecomputations/dolphin-mistral-24b-venice-edition` — 128,000
ctx, 8,192 out
- `openai/gpt-5.6-luna` — 1,050,000 ctx, 128,000 out, text+image+pdf in,
reasoning, tools
- `openai/gpt-5.6-luna-pro` — 1,050,000 ctx, 128,000 out, text+image+pdf
in, reasoning, tools
- `openai/gpt-5.6-sol` — 1,050,000 ctx, 128,000 out, text+image+pdf in,
reasoning, tools
- `openai/gpt-5.6-sol-pro` — 1,050,000 ctx, 128,000 out, text+image+pdf
in, reasoning, tools
- `openai/gpt-5.6-terra` — 1,050,000 ctx, 128,000 out, text+image+pdf
in, reasoning, tools
- `openai/gpt-5.6-terra-pro` — 1,050,000 ctx, 128,000 out,
text+image+pdf in, reasoning, tools

** 4 removed**
- `google/gemini-2.5-flash-lite-preview-09-2025`
- `liquid/lfm-2-24b-a2b`
- `poolside/laguna-xs.2`
- `poolside/laguna-xs.2:free`

**✏️ 44 changed**
- `anthracite-org/magnum-v4-72b`: max input tokens 16,384 → 32,768
- `baidu/ernie-4.5-vl-424b-a47b`: max input tokens 123,000 → 131,072
- `deepseek/deepseek-chat`: max input tokens 128,000 → 131,072
- `deepseek/deepseek-r1`: max input tokens 64,000 → 163,840
- `deepseek/deepseek-r1-distill-llama-70b`: max input tokens 8,192 →
128,000
- `deepseek/deepseek-v3.2`: max input tokens 128,000 → 131,072
- `google/gemini-3.1-pro-preview-customtools`: max input tokens
1,048,576 → 1,048,756
- `google/gemma-4-26b-a4b-it:free`: max input tokens 131,072 → 262,144
- `meta-llama/llama-3.2-1b-instruct`: max input tokens 60,000 → 131,072
- `meta-llama/llama-3.3-70b-instruct:free`: max input tokens 65,536 →
131,072
- `meta-llama/llama-4-scout`: max input tokens 327,680 → 10,000,000
- `microsoft/wizardlm-2-8x22b`: max input tokens 65,535 → 65,536
- `minimax/minimax-m2.5`: max input tokens 196,608 → 204,800
- `minimax/minimax-m2.7`: max input tokens 196,608 → 204,800
- `minimax/minimax-m3`: max input tokens 524,288 → 1,048,576; max output
tokens 512,000 → 131,072
- `moonshotai/kimi-k2.5`: max input tokens 256,000 → 262,144
- `moonshotai/kimi-k2.7-code`: max output tokens 16,384 → 262,144
- `nvidia/nemotron-3-super-120b-a12b`: max input tokens 262,144 →
1,000,000
- `nvidia/nemotron-3-super-120b-a12b:free`: max input tokens 262,144 →
1,000,000
- `nvidia/nemotron-3-ultra-550b-a55b`: max input tokens 262,144 →
1,000,000
- `poolside/laguna-m.1`: last updated `2026-04-28` → `2026-06-13`
- `poolside/laguna-m.1:free`: last updated `2026-04-28` → `2026-06-13`
- `qwen/qwen-2.5-72b-instruct`: max input tokens 32,768 → 131,072
- `qwen/qwen-2.5-7b-instruct`: max input tokens 32,768 → 131,072
- `qwen/qwen-2.5-coder-32b-instruct`: max input tokens 32,768 → 128,000
- …and 19 more

</details>

Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
2026-07-10 10:24:05 -04:00
..

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