Other · model
MAI-Thinking-1 benchmark scores
As of 2026-10-07, MAI-Thinking-1 (Other) has measured scores on 11 benchmarks and estimated scores on 47 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 82.7% | estimated ± 5.4 pp, medium confidence |
| AA-HLE | 24.3% | estimated ± 4.0 pp, high confidence |
| AA-SciCode | 45.6% | estimated ± 3.7 pp, high confidence |
| AIME26 | 94.5% | measured |
| Artificial Analysis Intelligence Index | 19.2% | estimated ± 6.2 pp, medium confidence |
| CritPt | 1.4% | estimated ± 4.1 pp, high confidence |
| GPQA Diamond | 84.2% | measured |
| HLE | 25.1% | estimated ± 8.2 pp, medium confidence |
| IFBench | 85.0% | measured |
| LiveCodeBench v6 | 87.7% | measured |
| AA-Omniscience Accuracy | 22.8% | estimated ± 8.1 pp, medium confidence |
| SciCode | 45.5% | estimated ± 3.8 pp, high confidence |
| IFEval | 92.8% | estimated ± 3.5 pp, medium confidence |
| AA Coding Index | 47.5% | estimated ± 5.1 pp, medium confidence |
| SWE-bench Verified | 73.5% | measured |
| SWE-bench Pro | 52.8% | measured |
| MMLU-Pro | 85.0% | measured |
| FrontierMath v2 (Tiers 1-3) | 24.4% | estimated ± 8.4 pp, low confidence |
| GPQA | 84.2% | measured |
| AA-IFBench | 80.3% | estimated ± 8.5 pp, low confidence |
| ARC-AGI-1 | 79.1% | estimated ± 2.7 pp, medium confidence |
| ARC-AGI-2 | 38.0% | estimated ± 10.1 pp, low confidence |
| CursorBench 3.1 | 49.7% | estimated ± 5.6 pp, low confidence |
| CursorBench 3.2 | 46.2% | estimated ± 3.6 pp, medium confidence |
| FrontierCode 1.1 Main | 7.9% | estimated ± 2.7 pp, low confidence |
| FrontierSWE v2 | 2.3% | estimated ± 9.0 pp, low confidence |
| Vals GPQA Diamond | 83.3% | estimated ± 2.0 pp, medium confidence |
| Vals LiveCodeBench | 80.2% | estimated ± 4.7 pp, medium confidence |
| Vals MMLU-Pro | 80.4% | estimated ± 1.2 pp, high confidence |
| Vals SWE-bench | 67.4% | estimated ± 6.8 pp, medium confidence |
| Terminal-Bench 2.1 (Vals AI) | 40.2% | estimated ± 6.3 pp, medium confidence |
| CursorBench 4.0 | 30.0% | estimated ± 3.6 pp, medium confidence |
| HLE w/o tools | 18.2% | estimated ± 4.4 pp, high confidence |
| PostTrainBench v1.1 | 21.5% | estimated ± 4.7 pp, medium confidence |
| Vibe Code Bench | 1.5% | estimated ± 8.1 pp, medium confidence |
| C-Eval | 89.8% | estimated ± 0.9 pp, low confidence |
| HMMT Feb 2025 | 93.9% | estimated ± 1.8 pp, low confidence |
| HMMT Feb 2026 | 84.9% | measured |
| MMAnswerBench | 81.9% | estimated ± 1.3 pp, high confidence |
| MMLU-Redux | 93.0% | estimated ± 0.7 pp, high confidence |
| NL2Repo | 45.5% | estimated ± 3.1 pp, low confidence |
| SuperGPQA | 66.5% | estimated ± 9.2 pp, low confidence |
| Terminal-Bench 2.0 | 46.0% | measured |
| HealthBench Hard | 0.0% | estimated ± 5.1 pp, low confidence |
| LiveCodeBench Pro | 77.8% | estimated ± 6.0 pp, low confidence |
| MedXpertQA (Text) | 40.1% | estimated ± 4.5 pp, low confidence |
| MMLU-Pro (Arcee) | 84.8% | estimated ± 3.4 pp, medium confidence |
| SWE-Rebench | 57.0% | estimated ± 3.6 pp, medium confidence |
| ARC-AGI-3 | 0.0% | estimated ± 2.1 pp, medium confidence |
| FrontierCode 1.1 Extended | 53.4% | estimated ± 3.0 pp, low confidence |
| HealthBench Professional | 39.0% | estimated ± 4.8 pp, low confidence |
| AIME 2025 | 97.0% | measured |
| LiveCodeBench | 82.4% | estimated ± 10.2 pp, low confidence |
| OpenHarmony Bench | 53.3% | estimated ± 4.9 pp, low confidence |
| IMOAnswerBench | 80.8% | estimated ± 5.9 pp, medium confidence |
| MMMLU | 87.3% | estimated ± 1.1 pp, medium confidence |
| MMLU | 90.2% | estimated ± 3.6 pp, low confidence |
| MATH-500 | 97.6% | estimated ± 3.1 pp, medium confidence |