SWE-bench Verified
Fixing real issues in real open-source repositories; a patch counts only if the project's own tests pass. Variants differ in task set and languages.
- 1Gemini 3.1 Pro · Google80.6%
- 2Mistral Medium 3.5 · Mistral AI77.6%
- 3Muse Glimmer 30B · Meta76.0%
- 4gpt-oss-120b · OpenAI62.4%
- 5gpt-oss-20b · OpenAI60.7%
How each maker reported it
- Gemini 3.1 Pro p.4
Results as of February 2026, Gemini at Thinking (High); competitors at their highest reported settings, as listed by Google.
- Mistral Medium 3.5 HF model card, launch post
Vendor-reported. Comparisons with other models appear only in charts without numbers. LEXam-hard is asterisked on the card.
- Muse Glimmer 30B Benchmarks
Meta's own results. Muse Glimmer at high reasoning; Gemma4-31B and Qwen3.6-27B in thinking mode. GDPVal-AA v2 is an Elo-style score.
- gpt-oss-120b Figures 1, 2, 4; Table 2
OpenAI's own pass@1 results at reasoning level high. AIME and HLE with tools; Codeforces with a terminal tool. o4-mini and o3 values read from OpenAI's charts.
- gpt-oss-20b Figures 1, 2, 4; Table 2
OpenAI's own pass@1 results at reasoning level high. AIME and HLE with tools; Codeforces with a terminal tool. o3-mini was run without tools on AIME, HLE and Codeforces, so those cells are left empty. Baseline values read from OpenAI's charts.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.