Alibaba (Qwen) · model
Qwen3.5 397B benchmark scores
As of 2026-10-07, Qwen3.5 397B (Alibaba (Qwen)) has measured scores on 46 benchmarks and estimated scores on 81 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 86.1% | measured |
| AA-HLE | 19.8% | measured |
| AA-SciCode | 42.3% | estimated ± 3.7 pp, high confidence |
| AIME26 | 93.3% | measured |
| Artificial Analysis Intelligence Index | 21.4% | measured |
| CritPt | 0.9% | measured |
| GDPval-AA | 22.7% | estimated ± 3.7 pp, low confidence |
| GPQA Diamond | 88.4% | estimated ± 0.4 pp, high confidence |
| HLE | 28.7% | measured |
| IFBench | 57.9% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 64.3% | measured |
| LiveCodeBench v6 | 83.6% | measured |
| AA-Omniscience Accuracy | 24.5% | measured |
| SciCode | 46.7% | estimated ± 3.8 pp, high confidence |
| BrowseComp | 62.0% | measured |
| HLE w/ tools | 44.3% | estimated ± 2.4 pp, medium confidence |
| IFEval | 92.6% | measured |
| LongBench v2 | 63.2% | measured |
| VITA-Bench | 43.7% | measured |
| τ²-bench results | 83.9% | measured |
| AA Coding Index | 52.8% | estimated ± 5.1 pp, medium confidence |
| AA-MMMU-Pro | 52.7% | measured |
| APEX-Agents | 6.7% | estimated ± 0.6 pp, low confidence |
| APEX-Agents-AA | 10.9% | estimated ± 4.6 pp, high confidence |
| BioMysteryBench (human-difficult) | 30.9% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 77.5% | estimated ± 8.1 pp, low confidence |
| SWE-bench Verified | 76.2% | measured |
| AutomationBench | 17.8% | estimated ± 10.3 pp, low confidence |
| BFCL v4 | 46.7% | estimated ± 8.6 pp, low confidence |
| CyberGym | 65.5% | estimated ± 4.6 pp, medium confidence |
| JobBench | 17.2% | estimated ± 5.1 pp, low confidence |
| SkillsBench | 45.7% | estimated ± 5.6 pp, low confidence |
| SWE-bench Pro | 50.9% | measured |
| τ³-bench results | 68.4% | measured |
| WideResearch | 74.0% | measured |
| AA Agentic Index | 17.3% | estimated ± 5.1 pp, medium confidence |
| MMLU-Pro | 87.8% | measured |
| FrontierMath v2 (Tier 4) | 0.1% | estimated ± 3.7 pp, low confidence |
| FrontierMath v2 (Tiers 1-3) | 26.8% | estimated ± 8.4 pp, low confidence |
| GPQA | 88.4% | measured |
| AA-IFBench | 51.6% | measured |
| Gert Labs | 46.8% | measured |
| AA-AnalystAgent | 9.5% | estimated ± 12.5 pp, low confidence |
| AA EnterpriseOps-Gym | 28.1% | estimated ± 3.6 pp, medium confidence |
| AA Harvey LAB | 86.0% | estimated ± 9.8 pp, low confidence |
| ApprenticeBench | 0.0% | estimated ± 3.1 pp, low confidence |
| ARC-AGI-1 | 58.3% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 42.7% | estimated ± 11.6 pp, low confidence |
| CursorBench 3.1 | 48.4% | estimated ± 5.6 pp, low confidence |
| CursorBench 3.2 | 42.2% | estimated ± 3.6 pp, medium confidence |
| FrontierCode 1.1 Main | 13.6% | estimated ± 2.7 pp, low confidence |
| FrontierSWE v2 | 0.0% | estimated ± 9.0 pp, low confidence |
| OfficeQA Pro | 50.3% | estimated ± 7.2 pp, low confidence |
| OSWorld-Verified | 53.8% | estimated ± 5.4 pp, medium confidence |
| Vals GPQA Diamond | 84.6% | estimated ± 4.8 pp, high confidence |
| Vals LiveCodeBench | 78.3% | estimated ± 4.7 pp, medium confidence |
| Vals MMLU-Pro | 85.8% | estimated ± 1.2 pp, high confidence |
| Vals SWE-bench | 71.1% | estimated ± 6.8 pp, medium confidence |
| Terminal-Bench 2.1 (Vals AI) | 45.9% | estimated ± 6.3 pp, medium confidence |
| AA AutomationBench | 2.6% | estimated ± 5.7 pp, low confidence |
| GDP.pdf | 9.3% | estimated ± 6.6 pp, low confidence |
| AA ITBench | 21.4% | estimated ± 3.6 pp, low confidence |
| AA Tau3 Banking | 17.9% | estimated ± 10.2 pp, low confidence |
| CursorBench 4.0 | 28.5% | estimated ± 3.6 pp, medium confidence |
| HLE w/o tools | 29.3% | estimated ± 4.9 pp, high confidence |
| OSWorld 2.0 | 0.0% | estimated ± 4.5 pp, low confidence |
| PostTrainBench v1.1 | 20.4% | estimated ± 4.7 pp, medium confidence |
| SWE Multilingual | 76.8% | estimated ± 2.1 pp, low confidence |
| Toolathlon-Verified | 57.0% | estimated ± 5.5 pp, low confidence |
| Vibe Code Bench | 7.7% | estimated ± 8.1 pp, medium confidence |
| CharXiv | 80.8% | measured |
| CharXiv w/o tools | 83.7% | estimated ± 1.7 pp, medium confidence |
| ExploitGym | 0.0% | estimated ± 6.1 pp, low confidence |
| C-Eval | 93.0% | measured |
| Claw-Eval | 56.8% | measured |
| DeepPlanning | 37.6% | measured |
| HMMT Feb 2025 | 94.8% | measured |
| HMMT Feb 2026 | 87.9% | measured |
| HMMT Nov 2025 | 92.7% | measured |
| MathVision | 88.6% | measured |
| MCP Atlas | 46.1% | measured |
| MCP-Tasks | 74.2% | measured |
| MMAnswerBench | 80.9% | measured |
| MMLU-ProX | 84.7% | measured |
| MMLU-Redux | 94.9% | measured |
| MMMU-Pro | 79.0% | measured |
| NL2Repo | 43.8% | estimated ± 3.1 pp, low confidence |
| NOVA-63 | 59.1% | measured |
| QwenClawBench | 51.8% | measured |
| ScreenSpot Pro | 65.6% | measured |
| SuperGPQA | 70.4% | measured |
| Terminal-Bench 2.0 | 52.5% | measured |
| Toolathlon | 36.3% | measured |
| V* | 95.8% | measured |
| VideoMMMU | 84.7% | measured |
| ERQA | 66.9% | estimated ± 2.4 pp, low confidence |
| HealthBench Hard | 0.1% | estimated ± 5.1 pp, low confidence |
| LiveCodeBench Pro | 76.2% | estimated ± 6.0 pp, low confidence |
| MedXpertQA (MM) | 72.4% | estimated ± 2.4 pp, high confidence |
| MMLU-Pro (Arcee) | 80.5% | estimated ± 4.0 pp, medium confidence |
| ResearchClawBench | 14.2% | measured |
| SWE-Rebench | 58.0% | estimated ± 3.6 pp, medium confidence |
| ARC-AGI-3 | 0.0% | estimated ± 2.1 pp, medium confidence |
| BioMysteryBench (human-solvable) | 81.7% | estimated ± 0.6 pp, low confidence |
| FrontierCode 1.1 Extended | 52.7% | estimated ± 3.0 pp, low confidence |
| HealthBench (raw) | 27.7% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 47.0% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 39.8% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 71.2% | estimated ± 1.8 pp, low confidence |
| AIME 2025 | 94.1% | estimated ± 1.5 pp, medium confidence |
| MMMU | 70.8% | estimated ± 0.9 pp, medium confidence |
| LiveCodeBench | 84.1% | estimated ± 10.2 pp, low confidence |
| OpenHarmony Bench | 53.3% | estimated ± 4.9 pp, low confidence |
| IMOAnswerBench | 82.5% | estimated ± 5.9 pp, medium confidence |
| BabyVision | 56.5% | estimated ± 4.3 pp, medium confidence |
| MMVU | 77.0% | estimated ± 2.9 pp, medium confidence |
| SimpleVQA | 91.7% | estimated ± 5.7 pp, low confidence |
| ZeroBench | 15.6% | estimated ± 4.7 pp, low confidence |
| MMLU | 88.7% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro w/ Python | 80.3% | estimated ± 0.6 pp, high confidence |
| MATH-500 | 97.4% | estimated ± 3.1 pp, medium confidence |
| MathVision w/ Python | 94.3% | estimated ± 0.5 pp, low confidence |
| RealWorldQA | 63.2% | estimated ± 0.8 pp, low confidence |
| Video-MME (with subtitle) | 87.6% | estimated ± 0.9 pp, medium confidence |
| OmniDocBench 1.5 | 91.7% | estimated ± 5.9 pp, low confidence |