hle text only subset 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 | GLM-5.2 Z.ai | 40.5%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] text-only subsetPublished Jun 16, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 40.5 | 100% confidence 100 percent, Full |
| 2 | DeepSeek V4.1 Flash DeepSeek | 39.1%Official model cards via models.devLab-reported; metric pass@1; transcribed by MIT models.dev catalog; not independently evaluated [variant] reasoning_effort=100; text-only subset
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 39.1 | 69% confidence 69 percent, Medium |
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 reasoning pillar of the SI Score.