Alibaba (Qwen) · model
Qwen3.7 Max benchmark scores
As of 2026-10-07, Qwen3.7 Max (Alibaba (Qwen)) has measured scores on 46 benchmarks and estimated scores on 66 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 92.3% | measured |
| AA-HLE | 40.5% | measured |
| AA-SciCode | 49.5% | measured |
| AIME26 | 97.3% | estimated ± 1.3 pp, medium confidence |
| Artificial Analysis Intelligence Index | 29.5% | measured |
| CritPt | 13.4% | measured |
| GDPval-AA | 31.6% | measured |
| GPQA Diamond | 92.4% | measured |
| HLE | 41.4% | measured |
| IFBench | 79.1% | measured |
| AA-LCR | 79.0% | measured |
| LiveCodeBench v6 | 89.0% | estimated ± 2.1 pp, high confidence |
| AA-Omniscience Accuracy | 31.1% | measured |
| SciCode | 53.5% | measured |
| Terminal-Bench 2.1 | 78.5% | estimated ± 6.9 pp, medium confidence |
| BrowseComp | 81.1% | estimated ± 5.7 pp, medium confidence |
| HLE w/ tools | 53.5% | measured |
| IFEval | 94.3% | measured |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| VITA-Bench | 47.9% | measured |
| τ²-bench results | 94.7% | measured |
| AA Coding Index | 66.0% | measured |
| APEX-Agents | 31.0% | estimated ± 0.6 pp, medium confidence |
| APEX-Agents-AA | 34.8% | estimated ± 5.7 pp, medium confidence |
| BioMysteryBench (human-difficult) | 35.7% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 86.6% | estimated ± 4.5 pp, high confidence |
| SWE-bench Verified | 80.4% | measured |
| AutomationBench | 28.4% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 75.0% | measured |
| CyberGym | 78.1% | estimated ± 2.4 pp, medium confidence |
| JobBench | 46.7% | estimated ± 6.8 pp, medium confidence |
| SWE-bench Pro | 60.6% | measured |
| τ³-bench results | 69.6% | estimated ± 1.8 pp, low confidence |
| WideResearch | 80.6% | estimated ± 3.4 pp, medium confidence |
| AA Agentic Index | 23.9% | measured |
| MMLU-Pro | 89.6% | measured |
| FrontierMath v2 (Tiers 1-3) | 39.0% | estimated ± 8.4 pp, low confidence |
| GPQA | 92.4% | measured |
| AA-IFBench | 80.5% | measured |
| Gert Labs | 64.3% | measured |
| AA-AnalystAgent | 44.3% | estimated ± 2.5 pp, medium confidence |
| AA EnterpriseOps-Gym | 46.0% | estimated ± 3.6 pp, medium confidence |
| AA Harvey LAB | 83.1% | estimated ± 1.2 pp, medium confidence |
| ApprenticeBench | 7.0% | estimated ± 3.1 pp, medium confidence |
| ARC-AGI-1 | 92.6% | estimated ± 2.7 pp, high confidence |
| ARC-AGI-2 | 67.7% | estimated ± 10.1 pp, low confidence |
| CursorBench 3.1 | 42.8% | estimated ± 3.4 pp, low confidence |
| CursorBench 3.2 | 58.9% | estimated ± 3.6 pp, high confidence |
| Terminal-Bench 3.0 | 6.3% | estimated ± 6.9 pp, low confidence |
| FrontierCode 1.1 Main | 26.5% | estimated ± 2.7 pp, medium confidence |
| FrontierSWE v2 | 16.2% | estimated ± 9.0 pp, medium confidence |
| OSWorld-Verified | 74.0% | estimated ± 5.9 pp, medium confidence |
| Vals GPQA Diamond | 90.2% | measured |
| Vals LiveCodeBench | 87.1% | measured |
| Vals MMLU-Pro | 89.3% | measured |
| Vals SWE-bench | 68.8% | measured |
| Terminal-Bench 2.1 (Vals AI) | 61.0% | measured |
| VulcanBench v3 | 85.1% | estimated ± 5.6 pp, low confidence |
| AA AutomationBench | 6.8% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 9.4% | estimated ± 5.4 pp, medium confidence |
| AA ITBench | 53.1% | estimated ± 3.4 pp, low confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| AA Terminal-Bench 2.1 | 77.8% | estimated ± 4.4 pp, high confidence |
| AA Terminal-Bench 4.0 | 14.8% | estimated ± 14.0 pp, low confidence |
| CursorBench 4.0 | 28.1% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 41.4% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 46.6% | estimated ± 6.4 pp, low confidence |
| HLE w/o tools | 39.6% | estimated ± 2.9 pp, high confidence |
| OSWorld 2.0 | 10.6% | estimated ± 4.5 pp, medium confidence |
| PostTrainBench v1.1 | 17.3% | estimated ± 2.7 pp, high confidence |
| SWE Multilingual | 78.3% | measured |
| Toolathlon-Verified | 53.2% | estimated ± 2.3 pp, low confidence |
| Vibe Code Bench | 50.6% | estimated ± 8.1 pp, medium confidence |
| ExploitGym | 0.0% | estimated ± 12.2 pp, low confidence |
| C-Eval | 93.9% | estimated ± 0.7 pp, low confidence |
| Claw-Eval | 65.2% | measured |
| DeepPlanning | 100.0% | estimated ± 9.1 pp, low confidence |
| HMMT Feb 2025 | 100.0% | estimated ± 1.8 pp, low confidence |
| HMMT Feb 2026 | 97.1% | measured |
| MCP Atlas | 76.4% | measured |
| MCP-Tasks | 77.0% | estimated ± 0.6 pp, low confidence |
| MMAnswerBench | 88.8% | estimated ± 2.8 pp, low confidence |
| MMLU-ProX | 87.0% | measured |
| MMLU-Redux | 95.0% | measured |
| NL2Repo | 47.2% | measured |
| NOVA-63 | 59.0% | measured |
| QwenClawBench | 64.3% | measured |
| SuperGPQA | 73.6% | measured |
| Terminal-Bench 2.0 | 69.7% | measured |
| Toolathlon | 55.4% | estimated ± 6.3 pp, medium confidence |
| HealthBench Hard | 32.1% | estimated ± 5.1 pp, low confidence |
| LiveCodeBench Pro | 84.2% | estimated ± 6.0 pp, low confidence |
| MedXpertQA (Text) | 61.7% | estimated ± 4.5 pp, medium confidence |
| MMLU-Pro (Arcee) | 87.7% | estimated ± 3.4 pp, low confidence |
| React Native Evals | 63.9% | estimated ± 2.4 pp, low confidence |
| ResearchClawBench | 18.7% | measured |
| SWE-Rebench | 61.8% | estimated ± 3.6 pp, medium confidence |
| ARC-AGI-3 | 0.1% | estimated ± 2.1 pp, high confidence |
| BioMysteryBench (human-solvable) | 86.4% | estimated ± 0.6 pp, low confidence |
| DRACO | 74.5% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 14.5% | estimated ± 2.4 pp, low confidence |
| HealthBench (raw) | 49.5% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 59.9% | estimated ± 1.3 pp, medium confidence |
| HealthBench Professional (raw) | 59.9% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 49.9% | estimated ± 2.0 pp, medium confidence |
| LABBench2 | 82.7% | estimated ± 1.8 pp, low confidence |
| LiveCodeBench | 91.6% | measured |
| OpenHarmony Bench | 53.4% | measured |
| IMOAnswerBench | 90.0% | measured |
| MMMLU | 90.3% | measured |
| MMLU | 91.2% | estimated ± 1.1 pp, medium confidence |