SWE-Bench ProMax - Python (OpenHands): leaderboard
Metric: Resolve rate (%, Pass@1 on the 29 Python instances; 170 repository-level refactoring instances from real commits (average 11.4 modified files), resolved when the patch passes every test of the manually reviewed suite; OpenHands scaffold, step limit 300, cost limit 10 US dollars per instance). Source: arxiv.org. Saturation forecast: Around 2029. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 | 48.3 |
| 2 | Kimi K2.5 | 24.1 |
| 3 | GLM-5 | 20.7 |
| 4 | Claude Sonnet 4.6 | 17.2 |
| 5 | Gemini 3 Pro | 13.8 |
Interactive version: theaggregate.ai/benchmark?slug=swe-bench-promax-python-openhands · How It Works · Data refreshed daily, snapshot 2026-09-29.