Top picks for Code Documentation (2026)
Writing clear docstrings and READMEs that match the code. Ranked from 333 live models on the OpenRouter catalog, weighted for context window, low cost, reasoning quality.
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Anthropic: Claude Sonnet 4.6anthropic/claude-sonnet-4.6 | 149 | $3.00 | $15.00 | 1,000,000 | Details → |
| 2 | DeepSeek: DeepSeek V4 Prodeepseek/deepseek-v4-pro | 147 | $0.43 | $0.87 | 1,048,576 | Details → |
| 3 | Z.ai: GLM 5.2z-ai/glm-5.2 | 147 | $0.97 | $3.04 | 1,048,576 | Details → |
| 4 | DeepSeek: DeepSeek V4 Flashdeepseek/deepseek-v4-flash | 147 | $0.09 | $0.19 | 1,048,576 | Details → |
| 5 | OpenAI: GPT-5.4openai/gpt-5.4 | 146 | $2.50 | $15.00 | 1,050,000 | Details → |
| 6 | Google: Gemini 3.1 Pro Previewgoogle/gemini-3.1-pro-preview | 145 | $2.00 | $12.00 | 1,048,576 | Details → |
| 7 | Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7 | 144 | $5.00 | $25.00 | 1,000,000 | Details → |
| 8 | xAI: Grok 4.5x-ai/grok-4.5 | 142 | $2.00 | $6.00 | 500,000 | Details → |
| 9 | OpenAI: GPT-5openai/gpt-5 | 142 | $1.25 | $10.00 | 400,000 | Details → |
| 10 | OpenAI: GPT-5.6 Lunaopenai/gpt-5.6-luna | 142 | $1.00 | $6.00 | 1,050,000 | Details → |
| 11 | Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 142 | $3.00 | $15.00 | 1,000,000 | Details → |
| 12 | MiniMax: MiniMax M3minimax/minimax-m3 | 142 | $0.30 | $1.20 | 1,048,576 | Details → |
| 13 | MoonshotAI: Kimi K2.6moonshotai/kimi-k2.6 | 141 | $0.68 | $3.42 | 262,144 | Details → |
| 14 | Anthropic: Claude Sonnet 5anthropic/claude-sonnet-5 | 141 | $2.00 | $10.00 | 1,000,000 | Details → |
| 15 | OpenAI: GPT-5.2openai/gpt-5.2 | 141 | $1.75 | $14.00 | 400,000 | Details → |
How we ranked these
For Code Documentation, we weight models on context window, low cost, reasoning quality. Scores combine each model's public specs with independent benchmark results (Aider Polyglot coding scores, Artificial Analysis intelligence/coding/agentic indices) and live pricing. See full methodology →
About Code Documentation
yourself.
When to use: Use this when you have working code without documentation, or when you need to update docs to match a recent code change without manually writing every
Common questions
What is the difference between AI documentation and human-written docs?
AI-generated documentation excels at speed and consistency for straightforward functions, but often misses domain context, usage warnings, and examples that experienced developers would include. Models like Claude 3.5 Sonnet handle complex parameter relationships better than older models, but you should always review critical paths and add use-case examples manually.
How much slower is it to use a better model for documentation versus a faster one?
GPT-4 or Claude 3.5 Sonnet are typically 2-4x slower per file than GPT-3.5, but produce fewer errors that require rewrites. For a 500-file codebase, the slower model still finishes in hours rather than minutes, and the time savings from not fixing bad docs usually outweigh the generation delay.