Alibaba (Qwen) · model
Qwen3.8 Max Preview benchmark scores
As of 2026-10-07, Qwen3.8 Max Preview (Alibaba (Qwen)) has measured scores on 13 benchmarks and estimated scores on 83 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 92.8% | measured |
| AA-HLE | 43.1% | measured |
| AA-SciCode | 52.1% | measured |
| Artificial Analysis Intelligence Index | 45.4% | measured |
| CritPt | 17.7% | measured |
| GDPval-AA | 58.6% | measured |
| GPQA Diamond | 92.5% | estimated ± 2.2 pp, high confidence |
| HLE | 50.2% | estimated ± 9.5 pp, medium confidence |
| AA-LCR | 80.3% | measured |
| LiveCodeBench v6 | 92.3% | estimated ± 3.1 pp, high confidence |
| AA-Omniscience Accuracy | 31.7% | measured |
| SciCode | 51.7% | estimated ± 3.2 pp, high confidence |
| BrowseComp | 86.2% | estimated ± 3.4 pp, medium confidence |
| HLE w/ tools | 61.7% | estimated ± 6.1 pp, medium confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| τ²-bench results | 95.6% | estimated ± 7.3 pp, medium confidence |
| AA Coding Index | 71.8% | measured |
| AA-MMMU-Pro | 82.8% | measured |
| APEX-Agents | 46.6% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 42.4% | measured |
| BioMysteryBench (human-difficult) | 36.1% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 93.3% | estimated ± 4.5 pp, high confidence |
| SWE-bench Verified | 85.2% | estimated ± 5.5 pp, medium confidence |
| AutomationBench | 44.6% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 78.1% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 83.6% | estimated ± 5.3 pp, medium confidence |
| JobBench | 55.9% | estimated ± 8.2 pp, low confidence |
| SWE-bench Pro | 64.4% | estimated ± 6.0 pp, medium confidence |
| WideResearch | 100.0% | estimated ± 9.1 pp, low confidence |
| AA Agentic Index | 49.6% | measured |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 92.4% | estimated ± 3.2 pp, high confidence |
| Gert Labs | 81.6% | estimated ± 8.5 pp, low confidence |
| AA-AnalystAgent | 50.6% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 47.3% | estimated ± 6.7 pp, low confidence |
| AA Harvey LAB | 93.4% | estimated ± 1.2 pp, medium confidence |
| ApprenticeBench | 20.3% | estimated ± 5.0 pp, low confidence |
| ARC-AGI-1 | 94.1% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 79.1% | estimated ± 14.2 pp, low confidence |
| CursorBench 3.1 | 49.2% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 59.7% | estimated ± 4.4 pp, high confidence |
| FrontierCode 1.1 Main | 42.6% | estimated ± 3.8 pp, high confidence |
| FrontierSWE v2 | 18.1% | estimated ± 14.6 pp, low confidence |
| OfficeQA Pro | 67.6% | estimated ± 7.2 pp, medium confidence |
| OSWorld-Verified | 86.3% | estimated ± 8.7 pp, low confidence |
| Vals GPQA Diamond | 93.8% | estimated ± 7.4 pp, medium confidence |
| Vals MMLU-Pro | 85.3% | estimated ± 2.2 pp, high confidence |
| Vals SWE-bench | 86.4% | estimated ± 5.4 pp, medium confidence |
| AA AutomationBench | 64.7% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 22.5% | estimated ± 5.4 pp, medium confidence |
| AA Tau3 Banking | 47.5% | estimated ± 5.8 pp, medium confidence |
| CursorBench 4.0 | 34.8% | estimated ± 1.6 pp, high confidence |
| CWE-bench v1 | 61.2% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 59.3% | estimated ± 6.4 pp, medium confidence |
| HLE w/o tools | 42.2% | estimated ± 5.7 pp, medium confidence |
| PostTrainBench v1.1 | 27.1% | estimated ± 6.1 pp, medium confidence |
| Toolathlon-Verified | 74.0% | estimated ± 2.3 pp, medium confidence |
| Vibe Code Bench | 57.5% | estimated ± 10.3 pp, low confidence |
| CharXiv | 86.0% | estimated ± 7.5 pp, low confidence |
| CharXiv w/o tools | 84.4% | estimated ± 2.4 pp, high confidence |
| ExploitGym | 26.8% | estimated ± 12.2 pp, low confidence |
| C-Eval | 96.2% | estimated ± 1.0 pp, low confidence |
| Claw-Eval | 84.0% | estimated ± 13.6 pp, low confidence |
| MathVision | 89.7% | estimated ± 4.9 pp, medium confidence |
| MCP Atlas | 78.7% | estimated ± 7.8 pp, low confidence |
| MMLU-Redux | 95.7% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro | 80.4% | estimated ± 4.4 pp, medium confidence |
| NL2Repo | 53.1% | estimated ± 5.1 pp, medium confidence |
| QwenClawBench | 100.0% | estimated ± 6.0 pp, low confidence |
| ScreenSpot Pro | 82.3% | estimated ± 10.7 pp, low confidence |
| SuperGPQA | 75.9% | estimated ± 7.5 pp, medium confidence |
| Toolathlon | 55.9% | estimated ± 6.3 pp, low confidence |
| ERQA | 68.8% | estimated ± 3.9 pp, medium confidence |
| HealthBench Hard | 34.5% | estimated ± 7.7 pp, low confidence |
| MedXpertQA (MM) | 77.6% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 100.0% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 82.1% | estimated ± 3.5 pp, high confidence |
| ResearchClawBench | 21.0% | estimated ± 2.0 pp, medium confidence |
| SWE-Rebench | 58.1% | estimated ± 8.9 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| BioMysteryBench (human-solvable) | 88.7% | estimated ± 0.6 pp, medium confidence |
| DRACO | 85.6% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 57.7% | estimated ± 3.4 pp, low confidence |
| HealthBench (raw) | 51.9% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 54.0% | estimated ± 3.7 pp, medium confidence |
| HealthBench Professional | 57.7% | estimated ± 4.8 pp, medium confidence |
| HealthBench Professional (raw) | 62.1% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 52.7% | estimated ± 2.0 pp, medium confidence |
| LABBench2 | 81.5% | estimated ± 1.8 pp, low confidence |
| MMMU | 89.7% | estimated ± 0.9 pp, medium confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 56.0% | measured |
| MMLU | 91.4% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro w/ Python | 83.4% | estimated ± 1.6 pp, high confidence |
| RealWorldQA | 89.0% | estimated ± 1.2 pp, low confidence |
| OmniDocBench 1.5 | 92.0% | estimated ± 6.4 pp, low confidence |