Zhipu (GLM) · model
GLM-5V-Turbo benchmark scores
As of 2026-10-07, GLM-5V-Turbo (Zhipu (GLM)) has measured scores on 11 benchmarks and estimated scores on 58 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 80.9% | measured |
| AA-HLE | 17.1% | measured |
| Artificial Analysis Intelligence Index | 23.5% | measured |
| CritPt | 0.6% | measured |
| GDPval-AA | 11.6% | estimated ± 8.8 pp, medium confidence |
| GPQA Diamond | 79.4% | estimated ± 2.2 pp, high confidence |
| HLE | 25.5% | estimated ± 9.5 pp, medium confidence |
| IFBench | 62.0% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 70.3% | measured |
| AA-Omniscience Accuracy | 29.3% | measured |
| BrowseComp | 58.6% | estimated ± 5.7 pp, medium confidence |
| IFEval | 92.8% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, medium confidence |
| VITA-Bench | 32.2% | estimated ± 10.7 pp, low confidence |
| τ²-bench results | 98.5% | measured |
| AA-MMMU-Pro | 72.8% | measured |
| APEX-Agents-AA | 25.3% | estimated ± 11.4 pp, low confidence |
| BioMysteryBench (human-difficult) | 34.5% | estimated ± 5.9 pp, low confidence |
| BFCL v4 | 38.2% | estimated ± 8.6 pp, low confidence |
| CyberGym | 21.1% | estimated ± 10.0 pp, low confidence |
| JobBench | 20.0% | estimated ± 8.4 pp, low confidence |
| τ³-bench results | 100.0% | estimated ± 8.9 pp, low confidence |
| WideResearch | 28.1% | estimated ± 5.9 pp, low confidence |
| AA Agentic Index | 16.1% | estimated ± 5.1 pp, medium confidence |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 87.7% | estimated ± 3.2 pp, high confidence |
| AA-IFBench | 61.1% | measured |
| Gert Labs | 30.8% | measured |
| AA EnterpriseOps-Gym | 52.8% | estimated ± 3.6 pp, medium confidence |
| ApprenticeBench | 0.0% | estimated ± 3.1 pp, low confidence |
| ARC-AGI-1 | 68.6% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 28.5% | estimated ± 14.2 pp, low confidence |
| OfficeQA Pro | 50.3% | estimated ± 7.2 pp, low confidence |
| OSWorld-Verified | 52.2% | estimated ± 5.9 pp, medium confidence |
| Vals GPQA Diamond | 73.6% | estimated ± 7.4 pp, medium confidence |
| Vals MMLU-Pro | 84.8% | estimated ± 2.2 pp, high confidence |
| AA ITBench | 43.7% | estimated ± 3.6 pp, medium confidence |
| HLE w/o tools | 14.4% | estimated ± 5.7 pp, medium confidence |
| OSWorld 2.0 | 0.0% | estimated ± 4.5 pp, low confidence |
| CharXiv | 76.2% | estimated ± 7.5 pp, low confidence |
| CharXiv w/o tools | 78.2% | estimated ± 2.4 pp, medium confidence |
| C-Eval | 92.5% | estimated ± 1.0 pp, medium confidence |
| Claw-Eval | 53.8% | measured |
| MathVision | 81.9% | estimated ± 4.9 pp, high confidence |
| MCP Atlas | 37.8% | estimated ± 11.2 pp, low confidence |
| MCP-Tasks | 62.4% | estimated ± 6.4 pp, low confidence |
| MMLU-Redux | 95.4% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro | 75.9% | estimated ± 4.4 pp, medium confidence |
| ScreenSpot Pro | 71.5% | estimated ± 10.7 pp, low confidence |
| SuperGPQA | 74.0% | estimated ± 7.5 pp, medium confidence |
| Toolathlon | 28.0% | estimated ± 7.2 pp, low confidence |
| ERQA | 53.7% | estimated ± 3.9 pp, high confidence |
| HealthBench Hard | 14.7% | estimated ± 7.7 pp, low confidence |
| MedXpertQA (MM) | 65.7% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 79.4% | estimated ± 4.0 pp, medium confidence |
| ResearchClawBench | 14.8% | estimated ± 1.3 pp, high confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| BioMysteryBench (human-solvable) | 81.7% | estimated ± 0.6 pp, low confidence |
| HealthBench (raw) | 24.4% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 57.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 36.8% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 64.0% | estimated ± 1.8 pp, low confidence |
| MMMU | 81.2% | estimated ± 0.9 pp, high confidence |
| MMLU | 90.6% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro w/ Python | 77.2% | estimated ± 1.6 pp, high confidence |
| RealWorldQA | 83.7% | estimated ± 1.2 pp, low confidence |
| OmniDocBench 1.5 | 18.2% | estimated ± 6.4 pp, low confidence |