Professional · best for
Best AI model for Medical Note Summarization (2026)
Patient note distillation. Not a substitute for a doctor. Ranked from 346 live models on the OpenRouter catalog, weighted for reasoning quality, context window, structured output.
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Xiaomi: MiMo-V2.5xiaomi/mimo-v2.5 | 128 | $0.40 | $2.00 | 1,048,576 | Try → |
| 2 | Qwen: Qwen3.6 Plusqwen/qwen3.6-plus | 128 | $0.33 | $1.95 | 1,000,000 | Try → |
| 3 | xAI: Grok 4.20x-ai/grok-4.20 | 128 | $2.00 | $6.00 | 2,000,000 | Try → |
| 4 | OpenAI: GPT-5.4 Nanoopenai/gpt-5.4-nano | 128 | $0.20 | $1.25 | 400,000 | Try → |
| 5 | OpenAI: GPT-5.4 Miniopenai/gpt-5.4-mini | 128 | $0.75 | $4.50 | 400,000 | Try → |
| 6 | OpenAI: GPT-5.4openai/gpt-5.4 | 128 | $2.50 | $15.00 | 1,050,000 | Try → |
| 7 | Google: Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 128 | $0.25 | $1.50 | 1,048,576 | Try → |
| 8 | Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23 | 128 | $0.07 | $0.26 | 1,000,000 | Try → |
| 9 | Google: Gemini 3.1 Pro Preview Custom Toolsgoogle/gemini-3.1-pro-preview-customtools | 128 | $2.00 | $12.00 | 1,048,576 | Try → |
| 10 | OpenAI: GPT-5.3-Codexopenai/gpt-5.3-codex | 128 | $1.75 | $14.00 | 400,000 | Try → |
| 11 | Google: Gemini 3.1 Pro Previewgoogle/gemini-3.1-pro-preview | 128 | $2.00 | $12.00 | 1,048,576 | Try → |
| 12 | Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 128 | $0.26 | $1.56 | 1,000,000 | Try → |
| 13 | Google: Gemini 3 Flash Previewgoogle/gemini-3-flash-preview | 128 | $0.50 | $3.00 | 1,048,576 | Try → |
| 14 | OpenAI: GPT-5.2openai/gpt-5.2 | 128 | $1.75 | $14.00 | 400,000 | Try → |
| 15 | xAI: Grok 4.1 Fastx-ai/grok-4.1-fast | 128 | $0.20 | $0.50 | 2,000,000 | Try → |
How we ranked these
For Medical Note Summarization, we weight models on reasoning quality, context window, structured output. Higher means better. Scores combine OpenRouter's model metadata (context length, modality support, tool calling, structured output, reasoning capability) with public pricing. See full methodology →
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