Claw-SWE-Bench (OpenClaw): leaderboard
Metric: Pass@1 (%) on the 350 GitHub issue-resolution instances of Claw-SWE-Bench (8 languages, 43 repositories, from SWE-bench-Multilingual and SWE-bench-Verified-Mini after future-commit cleanup); full adapter, identical prompt, 60-minute per-instance budget, one run, SWE-bench evaluator; OpenClaw harness. Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 78 |
| 2 | Claude Opus 4.7 | 77.1 |
| 3 | GLM-5.1 | 73.4 |
| 4 | DeepSeek V4 Pro | 71.7 |
| 5 | DeepSeek V4 Flash | 70.3 |
| 6 | Kimi K2.6 | 66.9 |
| 7 | Qwen 3.6 Flash | 66 |
| 8 | MiniMax-M2.7 | 61.4 |
| 9 | Seed 2.0 Mini | 48.6 |
Interactive version: theaggregate.ai/benchmark?slug=claw-swe-bench-openclaw · How It Works · Data refreshed daily, snapshot 2026-09-29.