Alibaba (Qwen) · model
Qwen3.5-122B-A10B benchmark scores
As of 2026-10-07, Qwen3.5-122B-A10B (Alibaba (Qwen)) has measured scores on 28 benchmarks and estimated scores on 90 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 85.7% | measured |
| AA-HLE | 25.2% | measured |
| AA-SciCode | 39.7% | measured |
| Artificial Analysis Intelligence Index | 15.6% | measured |
| CritPt | 0.6% | measured |
| GDPval-AA | 15.8% | measured |
| GPQA Diamond | 86.6% | estimated ± 0.4 pp, high confidence |
| HLE | 30.2% | estimated ± 7.8 pp, medium confidence |
| IFBench | 74.3% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 76.3% | measured |
| LiveCodeBench v6 | 83.8% | estimated ± 3.1 pp, high confidence |
| AA-Omniscience Accuracy | 24.4% | measured |
| SciCode | 39.7% | estimated ± 3.2 pp, high confidence |
| BrowseComp | 63.8% | measured |
| HLE w/ tools | 34.4% | estimated ± 4.6 pp, high confidence |
| IFEval | 93.4% | measured |
| LongBench v2 | 60.2% | measured |
| VITA-Bench | 36.9% | estimated ± 9.9 pp, low confidence |
| τ²-bench results | 93.6% | measured |
| AA Coding Index | 45.7% | measured |
| AA-MMMU-Pro | 75.0% | measured |
| APEX-Agents | 15.1% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 11.9% | estimated ± 4.6 pp, high confidence |
| BioMysteryBench (human-difficult) | 30.8% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 71.8% | estimated ± 4.5 pp, medium confidence |
| SWE-bench Verified | 72.0% | measured |
| AutomationBench | 28.4% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 71.2% | estimated ± 2.6 pp, high confidence |
| CyberGym | 66.7% | estimated ± 4.6 pp, medium confidence |
| JobBench | 9.6% | estimated ± 8.6 pp, low confidence |
| SWE-bench Pro | 47.1% | estimated ± 3.2 pp, high confidence |
| WideResearch | 69.8% | estimated ± 4.6 pp, high confidence |
| AA Agentic Index | 9.6% | measured |
| MMLU-Pro | 86.7% | measured |
| GPQA | 86.6% | measured |
| AA-IFBench | 75.7% | measured |
| Gert Labs | 44.0% | estimated ± 7.2 pp, medium confidence |
| AA-AnalystAgent | 10.5% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 44.1% | estimated ± 3.6 pp, medium confidence |
| AA Harvey LAB | 79.4% | estimated ± 1.2 pp, low confidence |
| ApprenticeBench | 0.0% | estimated ± 5.2 pp, low confidence |
| ARC-AGI-1 | 21.1% | estimated ± 5.4 pp, low confidence |
| ARC-AGI-2 | 31.0% | estimated ± 11.6 pp, low confidence |
| CursorBench 3.1 | 18.6% | estimated ± 3.4 pp, low confidence |
| CursorBench 3.2 | 30.9% | estimated ± 4.4 pp, medium confidence |
| FrontierCode 1.1 Main | 5.7% | estimated ± 2.7 pp, low confidence |
| FrontierSWE v2 | 0.0% | estimated ± 14.6 pp, low confidence |
| OfficeQA Pro | 50.3% | estimated ± 7.2 pp, low confidence |
| OSWorld-Verified | 58.0% | measured |
| Vals GPQA Diamond | 81.4% | estimated ± 4.8 pp, high confidence |
| Vals LiveCodeBench | 71.3% | estimated ± 9.9 pp, low confidence |
| Vals MMLU-Pro | 84.0% | estimated ± 1.2 pp, high confidence |
| Vals SWE-bench | 67.1% | estimated ± 5.4 pp, medium confidence |
| Terminal-Bench 2.1 (Vals AI) | 43.2% | estimated ± 6.3 pp, medium confidence |
| AA AutomationBench | 2.6% | estimated ± 5.7 pp, low confidence |
| GDP.pdf | 9.4% | estimated ± 5.4 pp, medium confidence |
| AA ITBench | 46.4% | estimated ± 3.6 pp, medium confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| CursorBench 4.0 | 13.7% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 24.3% | estimated ± 6.9 pp, low confidence |
| DeepSWE | 8.8% | estimated ± 6.4 pp, low confidence |
| HLE w/o tools | 24.3% | estimated ± 4.9 pp, high confidence |
| OSWorld 2.0 | 0.0% | estimated ± 3.6 pp, medium confidence |
| PostTrainBench v1.1 | 9.8% | estimated ± 6.1 pp, low confidence |
| SWE Multilingual | 70.5% | estimated ± 2.6 pp, low confidence |
| Toolathlon-Verified | 29.5% | estimated ± 2.3 pp, low confidence |
| Vibe Code Bench | 0.9% | estimated ± 8.1 pp, medium confidence |
| CharXiv | 77.2% | measured |
| CharXiv w/o tools | 83.7% | estimated ± 1.7 pp, low confidence |
| ExploitGym | 0.0% | estimated ± 6.1 pp, low confidence |
| C-Eval | 91.4% | estimated ± 0.7 pp, medium confidence |
| Claw-Eval | 62.4% | estimated ± 7.9 pp, medium confidence |
| MathVision | 86.2% | measured |
| MCP Atlas | 64.6% | estimated ± 7.8 pp, low confidence |
| MCP-Tasks | 67.2% | estimated ± 8.2 pp, low confidence |
| MMLU-ProX | 82.2% | measured |
| MMLU-Redux | 93.9% | estimated ± 0.7 pp, high confidence |
| MMMU-Pro | 77.9% | estimated ± 2.2 pp, high confidence |
| NL2Repo | 32.8% | estimated ± 5.1 pp, medium confidence |
| NOVA-63 | 56.3% | estimated ± 1.3 pp, low confidence |
| QwenClawBench | 55.9% | estimated ± 6.0 pp, low confidence |
| ScreenSpot Pro | 67.5% | estimated ± 4.5 pp, medium confidence |
| SuperGPQA | 67.1% | measured |
| Terminal-Bench 2.0 | 49.4% | measured |
| Toolathlon | 35.9% | estimated ± 3.5 pp, high confidence |
| V* | 93.2% | measured |
| VideoMMMU | 84.5% | estimated ± 1.5 pp, high confidence |
| ERQA | 63.5% | estimated ± 2.4 pp, low confidence |
| HealthBench Hard | 0.0% | estimated ± 5.1 pp, low confidence |
| MedXpertQA (MM) | 73.9% | estimated ± 6.4 pp, low confidence |
| MMLU-Pro (Arcee) | 79.4% | estimated ± 4.0 pp, medium confidence |
| React Native Evals | 75.6% | estimated ± 3.5 pp, high confidence |
| ResearchClawBench | 11.8% | estimated ± 2.0 pp, medium confidence |
| SWE-Rebench | 57.0% | 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 |
| DRACO | 68.0% | estimated ± 3.0 pp, low confidence |
| FrontierCode 1.1 Extended | 41.0% | estimated ± 3.4 pp, low confidence |
| HealthBench (raw) | 34.0% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 43.6% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 45.5% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 70.6% | estimated ± 1.8 pp, low confidence |
| MMMU | 83.9% | measured |
| LiveCodeBench | 87.7% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 51.0% | estimated ± 2.4 pp, medium confidence |
| BabyVision | 46.6% | estimated ± 4.3 pp, low confidence |
| MMVU | 74.7% | measured |
| SimpleVQA | 65.0% | estimated ± 7.8 pp, low confidence |
| ZeroBench | 13.5% | estimated ± 4.7 pp, low confidence |
| MMLU | 88.6% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro w/ Python | 78.7% | estimated ± 1.6 pp, high confidence |
| RefCOCO (avg) | 92.4% | estimated ± 1.8 pp, low confidence |
| MathVision w/ Python | 93.0% | estimated ± 0.5 pp, low confidence |
| RealWorldQA | 1.8% | estimated ± 0.8 pp, low confidence |
| Video-MME (with subtitle) | 86.8% | estimated ± 0.9 pp, low confidence |
| OmniDocBench 1.5 | 87.6% | estimated ± 6.4 pp, low confidence |