Other · model
Ling 3.1 Flash benchmark scores
As of 2026-10-07, Ling 3.1 Flash (Other) has measured scores on 13 benchmarks and estimated scores on 67 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 96.2% | estimated ± 2.1 pp, low confidence |
| AA-HLE | 39.4% | measured |
| AA-SciCode | 54.1% | measured |
| Artificial Analysis Intelligence Index | 41.1% | measured |
| CritPt | 18.0% | measured |
| GDPval-AA | 56.1% | measured |
| GPQA Diamond | 96.0% | estimated ± 1.0 pp, low confidence |
| HLE | 50.4% | estimated ± 9.5 pp, medium confidence |
| AA-LCR | 83.0% | measured |
| LiveCodeBench v6 | 95.1% | estimated ± 3.3 pp, medium confidence |
| AA-Omniscience Accuracy | 29.1% | measured |
| SciCode | 53.7% | estimated ± 3.2 pp, high confidence |
| BrowseComp | 88.9% | estimated ± 5.2 pp, low confidence |
| HLE w/ tools | 65.4% | estimated ± 5.0 pp, low confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| AA Coding Index | 70.4% | estimated ± 6.4 pp, medium confidence |
| APEX-Agents | 45.0% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 39.5% | estimated ± 6.0 pp, low confidence |
| BioMysteryBench (human-difficult) | 34.3% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 90.4% | estimated ± 8.4 pp, medium confidence |
| SWE-bench Verified | 87.2% | estimated ± 6.6 pp, medium confidence |
| AutomationBench | 52.5% | measured |
| BFCL v4 | 77.9% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 87.9% | measured |
| JobBench | 59.5% | estimated ± 8.6 pp, medium confidence |
| SkillsBench | 68.7% | measured |
| SWE-bench Pro | 65.6% | estimated ± 6.8 pp, medium confidence |
| WideResearch | 82.7% | estimated ± 1.5 pp, medium confidence |
| AA Agentic Index | 52.0% | estimated ± 1.7 pp, high confidence |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 96.0% | estimated ± 1.0 pp, low confidence |
| Gert Labs | 70.8% | estimated ± 6.0 pp, low confidence |
| AA-AnalystAgent | 47.6% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 31.7% | estimated ± 5.1 pp, low confidence |
| ApprenticeBench | 30.9% | estimated ± 4.0 pp, low confidence |
| ARC-AGI-1 | 93.4% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 74.9% | estimated ± 14.2 pp, low confidence |
| CursorBench 3.1 | 54.1% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 60.2% | estimated ± 5.3 pp, medium confidence |
| FrontierCode 1.1 Main | 42.7% | estimated ± 6.6 pp, medium confidence |
| FrontierSWE v2 | 24.3% | estimated ± 14.6 pp, low confidence |
| OSWorld-Verified | 80.7% | estimated ± 4.7 pp, high confidence |
| Vals GPQA Diamond | 98.2% | estimated ± 1.5 pp, low confidence |
| Vals MMLU-Pro | 93.8% | estimated ± 1.5 pp, low confidence |
| Vals SWE-bench | 84.4% | estimated ± 7.6 pp, low confidence |
| Terminal-Bench 2.1 (Vals AI) | 77.7% | estimated ± 4.6 pp, medium confidence |
| AA AutomationBench | 64.4% | 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 |
| AA Terminal-Bench 4.0 | 37.1% | estimated ± 4.7 pp, high confidence |
| CursorBench 4.0 | 37.1% | estimated ± 3.5 pp, high confidence |
| CWE-bench v1 | 59.7% | estimated ± 6.9 pp, medium confidence |
| HLE w/o tools | 37.7% | estimated ± 5.7 pp, medium confidence |
| PostTrainBench v1.1 | 30.3% | estimated ± 7.2 pp, low confidence |
| Terminal-Bench 4.0 | 40.4% | measured |
| Toolathlon-Verified | 74.3% | estimated ± 2.2 pp, low confidence |
| ExploitGym | 17.8% | estimated ± 9.3 pp, low confidence |
| C-Eval | 95.8% | estimated ± 1.0 pp, low confidence |
| MCP Atlas | 84.2% | estimated ± 11.1 pp, low confidence |
| MMLU-Redux | 95.3% | estimated ± 1.1 pp, medium confidence |
| NL2Repo | 56.3% | estimated ± 6.5 pp, medium confidence |
| QwenClawBench | 100.0% | estimated ± 6.0 pp, low confidence |
| SuperGPQA | 73.8% | estimated ± 7.5 pp, medium confidence |
| Toolathlon | 55.9% | estimated ± 6.3 pp, low confidence |
| HealthBench Hard | 33.7% | estimated ± 7.7 pp, low confidence |
| MMLU-Pro (Arcee) | 100.0% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 78.4% | estimated ± 4.7 pp, medium confidence |
| ResearchClawBench | 19.9% | estimated ± 2.2 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| BioMysteryBench (human-solvable) | 88.8% | estimated ± 0.6 pp, medium confidence |
| DRACO | 85.5% | measured |
| HealthBench (raw) | 48.5% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 60.6% | estimated ± 2.2 pp, medium confidence |
| HealthBench Professional | 65.4% | measured |
| HealthBench Professional (raw) | 58.9% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 23.3% | estimated ± 6.0 pp, low confidence |
| LABBench2 | 79.5% | estimated ± 2.4 pp, low confidence |
| Agents' Last Exam | 30.3% | estimated ± 2.1 pp, high confidence |
| OpenHarmony Bench | 58.8% | estimated ± 2.4 pp, high confidence |
| MMLU | 90.5% | estimated ± 1.1 pp, medium confidence |