Code · best for
Top picks for Code Refactoring (2026)
Safely restructuring an existing codebase across many files. Ranked from 340 live models on the OpenRouter catalog, weighted for context window, reasoning quality, structured output.
What this is
Ranked by capability match + real benchmark scores (Aider Polyglot, Artificial Analysis Intelligence Index) + live pricing. Models need the right specs for Code Refactoring, then benchmark performance refines the order. Full methodology →
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8 | 173 | $5.00 | $25.00 | 1,000,000 | Details → |
| 2 | Anthropic: Claude Sonnet 4.6anthropic/claude-sonnet-4.6 | 172 | $3.00 | $15.00 | 1,000,000 | Details → |
| 3 | OpenAI: GPT-5openai/gpt-5 | 171 | $1.25 | $10.00 | 400,000 | Details → |
| 4 | Anthropic: Claude Opus 4.7anthropic/claude-opus-4.7 | 171 | $5.00 | $25.00 | 1,000,000 | Details → |
| 5 | OpenAI: o3openai/o3 | 155 | $2.00 | $8.00 | 200,000 | Details → |
| 6 | OpenAI: GPT-4.1openai/gpt-4.1 | 148 | $2.00 | $8.00 | 1,047,576 | Details → |
| 7 | Google: Gemini 2.5 Progoogle/gemini-2.5-pro | 147 | $1.25 | $10.00 | 1,048,576 | Details → |
| 8 | Google: Gemini 2.5 Flashgoogle/gemini-2.5-flash | 143 | $0.30 | $2.50 | 1,048,576 | Details → |
| 9 | Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 137 | $0.15 | $0.60 | 1,048,576 | Details → |
| 10 | Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 137 | $3.00 | $15.00 | 1,000,000 | Details → |
| 11 | Qwen: Qwen3.7 Plusqwen/qwen3.7-plus | 136 | $0.40 | $1.60 | 1,000,000 | Details → |
| 12 | MiniMax: MiniMax M3minimax/minimax-m3 | 136 | $0.30 | $1.20 | 1,048,576 | Details → |
| 13 | Google: Gemini 3.5 Flashgoogle/gemini-3.5-flash | 136 | $1.50 | $9.00 | 1,048,576 | Details → |
| 14 | Google: Gemini 3.1 Flash Litegoogle/gemini-3.1-flash-lite | 136 | $0.25 | $1.50 | 1,048,576 | Details → |
| 15 | xAI: Grok 4.3x-ai/grok-4.3 | 136 | $1.25 | $2.50 | 1,000,000 | Details → |
How we ranked these
For Code Refactoring, we weight models on context window, reasoning quality, structured output. 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 →
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