RealClawBench: leaderboard
Metric: Case-level verifier pass rate (%, sample micro-average) on 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 November 2027. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 65.8 |
| 2 | GPT-5.5 | 65 |
| 3 | MiMo-V2.5-Pro | 60.1 |
| 4 | DeepSeek V4 Pro | 59.8 |
| 5 | Kimi K2.6 | 57.7 |
| 6 | Gemini 3.1 Pro (Preview) | 57.4 |
| 7 | GLM-5.1 | 57.4 |
| 8 | DeepSeek V4 Flash | 56 |
| 9 | Qwen 3.6 Plus | 55.8 |
| 10 | Claude Sonnet 4.6 | 55.3 |
| 11 | MiniMax-M2.7 | 53.7 |
| 12 | Claude Opus 4.6 | 52.1 |
| 13 | Gemma 4 31B | 45.7 |
| 14 | GPT-OSS-120B | 42.7 |
Interactive version: theaggregate.ai/benchmark?slug=realclawbench · How It Works · Data refreshed daily, snapshot 2026-09-29.