Multi-SWE-bench Python (MagentLess): leaderboard

The Python split of the Multi-SWE-bench leaderboard (ByteDance Seed, 2025): the 500 human-validated issues of SWE-bench Verified, run under the benchmark's own agents. The agent edits the repository to resolve each issue, and a fix counts only when the project's tests pass. Scored as the percentage of issues resolved under MagentLess, the benchmark team's multilingual port of Agentless; higher is better.

Metric: Resolved rate (%). Source: multi-swe-bench.github.io. Saturation forecast: Estimated already saturated. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)49#234
2O1 (2024-12-17)48.2#310
3O3 Mini (2025-01-31) (High)46.4#486 (O3 Mini (2025-01-31))
4Claude 3.7 Sonnet (20250219)44.6#399
5Claude 3.5 Sonnet (20241022)42.4#635
6DeepSeek R142.2#467
7DeepSeek V341#705
8Llama 4 Maverick37.8#1105
9GPT-4o (2024-11-20)36.2#864
10Qwen 2.5 72B Instruct26.8#1093
11Doubao-1.5-Pro26.2#585

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=multi-swe-bench-python-magentless · How It Works · Data refreshed daily, snapshot 2026-11-12.