SWE-bench Pro (Qwen-corrected tasks)Benchmark scores and sources
Published result; benchmark version and evaluation conditions remain in the id and result note.
| Row | Model | Result | Normalized (0–100) | Confidence |
|---|---|---|---|---|
| 1 | Qwen3.8 Max Alibaba / Qwen | 67.7%Official model cards via models.devLab-reported; metric resolved; transcribed by MIT models.dev catalog; not independently evaluated [variant] Claude Code; Qwen refined and corrected task set
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 67.7 | 85% confidence 85 percent, High |
| 2 | Qwen3.8 Flash Next Alibaba / Qwen | 62.5%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] Claude Code; Qwen refined and corrected task set
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 62.5 | 21% confidence 21 percent, Low |
Results are as published by the source behind each value (hover or tap the number). Benchmark scores are shown individually for every source/variant (a model may have multiple rows), and vary by version, harness and date; the normalized column uses the method’s fixed 0–100 scales and feeds the coding pillar of the SI Score.