Benchmarks / Coding

SWE Atlas Refactoring (Scale AI)

Whether a coding agent restructures production code while preserving its behaviour, graded by tests and rubrics. Maintained by Scale AI. Score: Leaderboard score (percent); ± is the published confidence half-width.

17models
–Open Index weight
–last updated

SWE Atlas Refactoring (Scale AI)

Higher is better · best effort per model

Chart settings
17 of 17 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astra Codexxhigh59.0%––
2Fable 5.1xhigh56.7%––
3Fable 5xhigh54.8%––
4Opus 4.7max48.6%––
5Opus 4.8max46.7%––
6GPT-5.5 Codexxhigh44.8%––
7Gemini 3.8 Flashmax44.8%––
8GPT-5.4 Codexxhigh44.3%––
9GLM 5.2max42.4%––
10GPT-5.3 Codexxhigh42.4%––
11Opus 4.6max35.6%––
12Gemini 3.1 Prohigh33.8%––
13Sonnet 4.6max32.2%––
14GLM 5high24.2%––
15Kimi K2.5max20.9%––
16MiniMax M2.5high19.5%––
17Gemini 3 Flashhigh10.0%––