300 models ranked for code refactoring. Scored with heavy bonuses for reasoning (understanding code intent), large context (full codebase analysis), large output (complete rewrites), streaming, and JSON mode.
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 94 |
| 2 | GPT-5.4OpenAI | 94 |
| 3 | GPT-5.4 MiniOpenAI | 93 |
| 4 | GPT-5.2 ProOpenAI | 93 |
| 5 | GPT-5.2OpenAI | 93 |
| 6 | Claude Opus 4.6Anthropic | 92 |
| 7 | GPT-5 ProOpenAI | 92 |
| 8 | o3 Deep ResearchOpenAI | 92 |
| 9 | Claude Opus 4.5Anthropic | 90 |
| 10 | GPT-5OpenAI | 90 |
| 11 | Gemini 3 Flash PreviewGoogle | 89 |
| 12 | Claude Sonnet 4.6Anthropic | 89 |
| 13 | Claude Sonnet 4.5Anthropic | 89 |
| 14 | o3 ProOpenAI | 88 |
| 15 | Grok 4.1 FastxAI | 87 |
| 16 | Gemini 3.1 Pro PreviewGoogle | 86 |
| 17 | o3OpenAI | 86 |
| 18 | GPT-5.1OpenAI | 85 |
| 19 | MiMo-V2-OmniXiaomi | 85 |
| 20 | MiMo-V2-ProXiaomi | 85 |
| 21 | GPT-5.4 NanoOpenAI | 85 |
| 22 | Seed-2.0-LiteByteDance | 85 |
| 23 | Qwen3.5-9BAlibaba | 85 |
| 24 | Seed-2.0-MiniByteDance | 85 |
| 25 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 85 |
| 26 | GPT-5.3-CodexOpenAI | 85 |
| 27 | Qwen3.5 Plus 2026-02-15Alibaba | 85 |
| 28 | Kimi K2.5Moonshot AI | 85 |
| 29 | GPT-5.2-CodexOpenAI | 85 |
| 30 | Seed 1.6 FlashByteDance | 85 |
Migrate code between frameworks, update deprecated APIs, and convert legacy patterns to modern idioms. Large context models understand full project structure for consistent refactoring.
Reasoning models identify anti-patterns and suggest proper design patterns. They understand SOLID principles, DRY, and architectural boundaries.
Identify bottlenecks, optimize algorithms, reduce memory allocations, and improve query performance. Chain-of-thought explains each optimization decision.
Add TypeScript types to JavaScript, improve error boundaries, and strengthen validation. Large output models produce complete refactored files in one response.
Based on our composite scoring updated hourly, the top-ranked models are shown at the top of this page. Rankings consider benchmarks, pricing, capabilities, and community adoption.
Yes, several models listed on this page offer free tiers or are fully open-source. Look for models marked as Free in the pricing column above.
We use a composite scoring system combining benchmark performance, capability matching, pricing, context window size, and community adoption. Scores are updated hourly.
Rankings refresh every hour using real-time data from benchmarks, API testing, and community metrics. The data shown always reflects the most current performance.