aiaimodel.cards
← All benchmarks

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.

  1. 1Gemini 3.1 Pro · Google
    80.6%
  2. 2Mistral Medium 3.5 · Mistral AI
    77.6%
  3. 3Muse Glimmer 30B · Meta
    76.0%
  4. 4gpt-oss-120b · OpenAI
    62.4%
  5. 5gpt-oss-20b · OpenAI
    60.7%

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.