FrontierMath Tier 4Benchmark 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-5.5 Pro OpenAI | 39.6%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Tier 4Published Apr 23, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 39.6 | 53% confidence 53 percent, Medium |
| 2 | GPT-5.4 Pro OpenAI | 38%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Tier 4Published Apr 23, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 38.0 | 69% confidence 69 percent, Medium |
| 3 | GPT-5.5 OpenAI | 35.4%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Tier 4Published Apr 23, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 35.4 | 100% confidence 100 percent, Full |
| 4 | GPT-5.4 OpenAI | 27.1%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Tier 4Published Apr 23, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 27.1 | 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 math pillar of the SI Score.