Terminal-Bench 0.1Benchmark 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 | GPT-6 Astra OpenAI | 64.6%Official model cards via models.devLab-reported; metric success rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] 0.1Published Sep 3, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 64.6 | 100% confidence 100 percent, Full |
| 2 | Claude Opus 5.5 Anthropic | 58.7%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] max effort; production safeguards with fallback; 0.1Published Sep 22, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 58.7 | 100% confidence 100 percent, Full |
| 3 | Claude Fable 5.1 Anthropic | 52.6%Official model cards via models.devLab-reported; metric score; transcribed by MIT models.dev catalog; not independently evaluated [variant] production safeguards with fallback; 0.1Published Sep 1, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 52.6 | 100% confidence 100 percent, Full |
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.