LiveBench Python: leaderboard

The Python slice of LiveBench's agentic coding category, where the model works in a real repository over many turns to resolve an issue taken from a public GitHub project. Runs use the Mini SWE Agent scaffold with a 250 step limit and are graded by the Multi-SWE-Bench harness, which runs the project's own tests. The score is a percentage of issues resolved, higher is better.

Metric: Score. Source: livebench.ai. Saturation forecast: Around 2029. 71 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4.1 Flash (Max)90#36 (DeepSeek V4.1 Flash)
2Qwen 3.8 27B75#105
3Claude Opus 5 (Max)75#12 (Claude Opus 5)
4DeepSeek-V4-Flash-Vision-Exp75#76
5Qwen3.8-Flash-Next70#72
6Claude Fable 5.1 (Max)70#9 (Claude Fable 5.1)
7Claude Opus 5.5 (Max)70#3 (Claude Opus 5.5)
8Claude Opus 5.5 (xHigh)70#3 (Claude Opus 5.5)
9Kimi K365#30
10GPT-6 Astra (Max)65#6 (GPT-6 Astra)
11Claude Fable 5 (Max)65#16 (Claude Fable 5)
12GLM-5.3 Flash60#65
13Qwen 3.8 Max60#35
14GLM-5.360#39
15Grok 4.560#48

No result here: #8 Gemini 4 Argon, #10 Muse Wonder Full.

Interactive version: theaggregate.ai/benchmark?slug=livebench-python · How It Works · Data refreshed daily, snapshot 2026-10-20.