Google · model
Gemini 3.1 Pro benchmark scores
As of 2026-10-07, Gemini 3.1 Pro (Google) has measured scores on 42 benchmarks and estimated scores on 85 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 94.1% | measured |
| AA-HLE | 47.0% | measured |
| AA-SciCode | 58.7% | measured |
| AIME26 | 100.0% | estimated ± 0.6 pp, low confidence |
| Artificial Analysis Intelligence Index | 29.7% | measured |
| CritPt | 17.7% | measured |
| GDPval-AA | 14.7% | measured |
| GPQA Diamond | 94.3% | measured |
| HLE | 56.6% | estimated ± 5.5 pp, low confidence |
| IFBench | 75.8% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 82.0% | measured |
| LiveCodeBench v6 | 91.5% | estimated ± 3.1 pp, high confidence |
| AA-Omniscience Accuracy | 54.9% | measured |
| SciCode | 53.8% | estimated ± 2.9 pp, low confidence |
| Terminal-Bench 2.1 | 84.2% | estimated ± 6.9 pp, medium confidence |
| BrowseComp | 85.6% | estimated ± 3.4 pp, high confidence |
| HLE w/ tools | 39.1% | estimated ± 6.1 pp, low confidence |
| IFEval | 93.7% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| VITA-Bench | 35.6% | estimated ± 10.7 pp, low confidence |
| τ²-bench results | 95.6% | measured |
| AA Coding Index | 68.8% | measured |
| AA-MMMU-Pro | 82.4% | measured |
| APEX-Agents | 14.1% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 32.0% | measured |
| BioMysteryBench (human-difficult) | 47.5% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 69.7% | measured |
| SWE-bench Verified | 77.7% | estimated ± 4.4 pp, high confidence |
| AutomationBench | 28.4% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 70.7% | estimated ± 2.6 pp, high confidence |
| CyberGym | 53.5% | estimated ± 5.3 pp, low confidence |
| JobBench | 39.9% | estimated ± 8.2 pp, low confidence |
| SWE-bench Pro | 56.8% | estimated ± 2.1 pp, high confidence |
| τ³-bench results | 68.9% | estimated ± 8.9 pp, medium confidence |
| WideResearch | 77.3% | estimated ± 5.9 pp, low confidence |
| AA Agentic Index | 10.3% | measured |
| MMLU-Pro | 85.7% | estimated ± 2.5 pp, low confidence |
| FrontierMath v2 (Tier 4) | 16.7% | measured |
| FrontierMath v2 (Tiers 1-3) | 36.9% | measured |
| GPQA | 94.2% | estimated ± 0.1 pp, high confidence |
| AA-IFBench | 77.1% | measured |
| Gert Labs | 56.9% | measured |
| AA-AnalystAgent | 9.7% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 47.6% | estimated ± 3.6 pp, medium confidence |
| AA Harvey LAB | 79.4% | estimated ± 1.2 pp, low confidence |
| ApprenticeBench | 0.0% | estimated ± 3.1 pp, low confidence |
| ARC-AGI-1 | 94.0% | estimated ± 1.9 pp, high confidence |
| ARC-AGI-2 | 77.1% | measured |
| CursorBench 3.1 | 65.5% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 55.8% | estimated ± 4.4 pp, high confidence |
| Terminal-Bench 3.0 | 14.2% | estimated ± 6.9 pp, medium confidence |
| FrontierCode 1.1 Main | 40.7% | estimated ± 2.8 pp, low confidence |
| FrontierSWE v2 | 9.7% | estimated ± 9.5 pp, medium confidence |
| OfficeQA Pro | 67.4% | estimated ± 7.2 pp, medium confidence |
| OSWorld-Verified | 66.8% | estimated ± 5.9 pp, medium confidence |
| Vals GPQA Diamond | 95.5% | measured |
| Vals LiveCodeBench | 88.5% | measured |
| Vals MMLU-Pro | 91.0% | measured |
| Vals SWE-bench | 78.8% | measured |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | measured |
| VulcanBench v3 | 86.2% | estimated ± 5.6 pp, low confidence |
| AA AutomationBench | 3.8% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 9.4% | estimated ± 5.4 pp, medium confidence |
| AA ITBench | 45.2% | estimated ± 3.6 pp, medium confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| AA Terminal-Bench 2.1 | 85.0% | estimated ± 4.4 pp, high confidence |
| AA Terminal-Bench 4.0 | 25.9% | estimated ± 14.0 pp, low confidence |
| CursorBench 4.0 | 31.2% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 22.9% | estimated ± 6.9 pp, low confidence |
| DeepSWE | 54.2% | estimated ± 4.4 pp, medium confidence |
| HLE w/o tools | 45.4% | measured |
| OSWorld 2.0 | 4.9% | estimated ± 4.5 pp, medium confidence |
| PostTrainBench v1.1 | 22.0% | measured |
| ProgramBench | 0.0% | estimated ± 4.8 pp, low confidence |
| Toolathlon-Verified | 31.1% | estimated ± 2.3 pp, low confidence |
| Vibe Code Bench | 32.0% | measured |
| CharXiv | 80.2% | measured |
| CharXiv w/o tools | 88.6% | estimated ± 1.8 pp, low confidence |
| ExploitGym | 0.0% | estimated ± 12.2 pp, low confidence |
| C-Eval | 94.1% | estimated ± 1.0 pp, low confidence |
| Claw-Eval | 57.8% | measured |
| HMMT Nov 2025 | 93.2% | estimated ± 2.6 pp, low confidence |
| MathVision | 90.6% | estimated ± 1.4 pp, medium confidence |
| MCP Atlas | 64.6% | estimated ± 7.8 pp, low confidence |
| MCP-Tasks | 69.3% | estimated ± 6.4 pp, low confidence |
| MMAnswerBench | 85.7% | estimated ± 1.3 pp, low confidence |
| MMLU-Redux | 97.6% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro | 83.9% | measured |
| NL2Repo | 45.1% | estimated ± 4.7 pp, high confidence |
| QwenClawBench | 55.9% | estimated ± 6.0 pp, low confidence |
| ScreenSpot Pro | 84.4% | measured |
| SuperGPQA | 87.4% | estimated ± 7.5 pp, low confidence |
| Terminal-Bench 2.0 | 74.1% | estimated ± 5.9 pp, medium confidence |
| Toolathlon | 27.0% | estimated ± 6.3 pp, low confidence |
| VideoMMMU | 89.3% | estimated ± 1.0 pp, medium confidence |
| ERQA | 69.4% | measured |
| HealthBench Hard | 20.6% | measured |
| LiveCodeBench Pro | 82.9% | measured |
| MedXpertQA (MM) | 81.3% | measured |
| MedXpertQA (Text) | 71.5% | measured |
| MMLU-Pro (Arcee) | 88.3% | estimated ± 3.4 pp, low confidence |
| React Native Evals | 78.9% | measured |
| ResearchClawBench | 13.3% | measured |
| SWE-Rebench | 58.9% | estimated ± 6.5 pp, low confidence |
| ARC-AGI-3 | 0.4% | measured |
| FrontierMath (legacy) | 37.5% | estimated ± 0.7 pp, low confidence |
| BioMysteryBench (human-solvable) | 88.7% | estimated ± 0.6 pp, medium confidence |
| DRACO | 67.6% | estimated ± 3.0 pp, low confidence |
| FrontierCode 1.1 Extended | 28.4% | estimated ± 2.4 pp, low confidence |
| HealthBench (raw) | 55.3% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.8% | estimated ± 0.9 pp, medium confidence |
| HealthBench Professional | 60.0% | estimated ± 1.3 pp, medium confidence |
| HealthBench Professional (raw) | 65.2% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 35.3% | estimated ± 0.7 pp, low confidence |
| LABBench2 | 83.6% | estimated ± 1.8 pp, low confidence |
| MMMU | 89.4% | estimated ± 0.9 pp, medium confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 58.8% | estimated ± 2.4 pp, high confidence |
| SimpleVQA | 72.4% | measured |
| ZeroBench | 29.0% | measured |
| MMMLU | 91.1% | estimated ± 1.1 pp, low confidence |
| MMLU | 95.5% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro w/ Python | 85.3% | estimated ± 0.6 pp, medium confidence |
| MathVision w/ Python | 76.8% | estimated ± 0.9 pp, low confidence |
| RealWorldQA | 87.0% | estimated ± 1.1 pp, medium confidence |
| Video-MME (with subtitle) | 87.4% | estimated ± 0.9 pp, medium confidence |
| OmniDocBench 1.5 | 91.7% | estimated ± 5.9 pp, low confidence |