ChainSWE (Oracle): leaderboard
Metric: Per-bug resolution rate (%; share of the 304 bugs in 100 chronological bug chains from six SWE-bench-family datasets whose tests pass, each bug starts from its chain with the earlier gold fixes applied; the Baseline configuration of the SWE-Edit scaffold, which the paper states is identical to the original SWE-agent; 100 turns and 30 minutes per bug, thinking effort medium). Source: arxiv.org. Saturation forecast: Around 2029. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 69.1 |
| 2 | GPT-5.4 Nano (Medium) | 64.8 |
| 3 | Claude Opus 4.7 (Medium) | 64.5 |
| 4 | GPT-5.4 Mini (Medium) | 61.8 |
| 5 | Gemini 3.1 Pro (Preview) (Medium) | 61.8 |
Interactive version: theaggregate.ai/benchmark?slug=chainswe-oracle · How It Works · Data refreshed daily, snapshot 2026-09-29.