RealClawBench - Code Fixing: leaderboard
Metric: Verifier pass rate (%) on the 63 code-fixing tasks of 281 released tasks reconstructed from real OpenClaw developer-agent sessions, run in the shared OpenClaw agent runtime (file read, write, edit, search and shell tools, 600-second timeout, temperature 1.0) and scored by case-specific deterministic Python verifiers; mean of three independent runs; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | MiMo-V2.5-Pro | 61.4 |
| 2 | DeepSeek V4 Pro | 60.3 |
| 3 | Claude Opus 4.7 | 58.7 |
| 4 | GPT-5.5 | 57.7 |
| 5 | Kimi K2.6 | 56.1 |
| 6 | Gemini 3.1 Pro (Preview) | 52.4 |
| 7 | GLM-5.1 | 51.9 |
| 8 | Claude Opus 4.6 | 50.3 |
| 9 | DeepSeek V4 Flash | 50.3 |
| 10 | Claude Sonnet 4.6 | 49.7 |
| 11 | MiniMax-M2.7 | 49.2 |
| 12 | GPT-OSS-120B | 47.6 |
| 13 | Qwen 3.6 Plus | 47.6 |
| 14 | Gemma 4 31B | 47.6 |
Interactive version: theaggregate.ai/benchmark?slug=realclawbench-code-fixing · How It Works · Data refreshed daily, snapshot 2026-09-29.