Zhipu (GLM) · model
GLM-5.2 benchmark scores
As of 2026-10-07, GLM-5.2 (Zhipu (GLM)) has measured scores on 38 benchmarks and estimated scores on 76 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 89.5% | measured |
| AA-HLE | 41.1% | measured |
| AA-SciCode | 51.2% | measured |
| AIME26 | 99.2% | measured |
| Artificial Analysis Intelligence Index | 33.7% | measured |
| CritPt | 20.9% | measured |
| GDPval-AA | 43.7% | measured |
| GPQA Diamond | 91.2% | measured |
| HLE | 54.7% | measured |
| IFBench | 71.8% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 78.3% | measured |
| LiveCodeBench v6 | 90.5% | estimated ± 2.1 pp, high confidence |
| AA-Omniscience Accuracy | 24.3% | measured |
| SciCode | 19.2% | estimated ± 2.9 pp, low confidence |
| Terminal-Bench 2.1 | 81.0% | measured |
| BrowseComp | 85.8% | estimated ± 3.4 pp, high confidence |
| HLE w/ tools | 64.6% | estimated ± 4.6 pp, medium confidence |
| IFEval | 93.6% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, medium confidence |
| VITA-Bench | 46.9% | estimated ± 9.9 pp, low confidence |
| τ²-bench results | 99.1% | measured |
| AA Coding Index | 68.8% | measured |
| APEX-Agents | 31.3% | estimated ± 0.6 pp, medium confidence |
| APEX-Agents-AA | 33.7% | measured |
| BioMysteryBench (human-difficult) | 30.8% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 91.6% | estimated ± 4.5 pp, high confidence |
| SWE-bench Verified | 80.4% | estimated ± 2.4 pp, high confidence |
| AutomationBench | 28.4% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 76.9% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 75.8% | estimated ± 5.3 pp, medium confidence |
| JobBench | 47.1% | estimated ± 6.8 pp, medium confidence |
| SWE-bench Pro | 62.1% | measured |
| τ³-bench results | 69.6% | estimated ± 1.8 pp, low confidence |
| WideResearch | 79.4% | estimated ± 5.6 pp, low confidence |
| AA Agentic Index | 39.4% | measured |
| MMLU-Pro | 85.6% | estimated ± 2.5 pp, low confidence |
| FrontierMath v2 (Tier 4) | 27.8% | estimated ± 3.7 pp, low confidence |
| FrontierMath v2 (Tiers 1-3) | 39.0% | estimated ± 8.4 pp, low confidence |
| GPQA | 91.2% | measured |
| AA-IFBench | 73.3% | measured |
| Gert Labs | 55.3% | estimated ± 7.2 pp, medium confidence |
| AA-AnalystAgent | 52.7% | estimated ± 8.5 pp, low confidence |
| AA EnterpriseOps-Gym | 53.8% | estimated ± 3.6 pp, low confidence |
| AA Harvey LAB | 92.0% | estimated ± 1.2 pp, medium confidence |
| ApprenticeBench | 10.0% | estimated ± 5.0 pp, low confidence |
| ARC-AGI-1 | 90.9% | estimated ± 2.7 pp, high confidence |
| ARC-AGI-2 | 61.2% | estimated ± 10.1 pp, low confidence |
| CursorBench 3.1 | 47.0% | estimated ± 3.4 pp, low confidence |
| CursorBench 3.2 | 55.0% | measured |
| Terminal-Bench 3.0 | 4.6% | measured |
| FrontierCode 1.1 Main | 37.9% | estimated ± 1.6 pp, low confidence |
| FrontierSWE v2 | 18.9% | estimated ± 9.0 pp, medium confidence |
| OSWorld-Verified | 78.5% | estimated ± 8.7 pp, low confidence |
| Vals GPQA Diamond | 85.6% | measured |
| Vals LiveCodeBench | 69.5% | measured |
| Vals MMLU-Pro | 86.7% | measured |
| Vals SWE-bench | 82.8% | measured |
| Terminal-Bench 2.1 (Vals AI) | 67.8% | measured |
| VulcanBench v3 | 76.7% | estimated ± 5.1 pp, low confidence |
| AA AutomationBench | 64.3% | estimated ± 5.5 pp, low confidence |
| GDP.pdf | 9.6% | estimated ± 5.4 pp, medium confidence |
| AA ITBench | 42.7% | measured |
| AA Tau3 Banking | 48.0% | estimated ± 3.0 pp, low confidence |
| AA Terminal-Bench 2.1 | 84.7% | estimated ± 3.5 pp, high confidence |
| AA Terminal-Bench 4.0 | 19.8% | estimated ± 8.9 pp, medium confidence |
| CursorBench 4.0 | 31.1% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 51.4% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 64.9% | estimated ± 4.4 pp, high confidence |
| HLE w/o tools | 40.5% | measured |
| OSWorld 2.0 | 13.6% | estimated ± 5.1 pp, low confidence |
| PostTrainBench v1.1 | 31.7% | measured |
| ProgramBench | 63.7% | measured |
| Toolathlon-Verified | 67.6% | estimated ± 2.3 pp, medium confidence |
| Vibe Code Bench | 49.5% | estimated ± 10.3 pp, low confidence |
| ExploitGym | 13.5% | estimated ± 10.3 pp, low confidence |
| C-Eval | 93.3% | estimated ± 0.8 pp, low confidence |
| Claw-Eval | 73.3% | estimated ± 3.2 pp, medium confidence |
| DeepPlanning | 48.5% | estimated ± 13.1 pp, low confidence |
| HMMT Feb 2025 | 95.5% | estimated ± 1.6 pp, medium confidence |
| HMMT Feb 2026 | 92.5% | measured |
| HMMT Nov 2025 | 94.4% | measured |
| MCP Atlas | 76.8% | measured |
| MCP-Tasks | 77.0% | estimated ± 0.6 pp, low confidence |
| MMAnswerBench | 91.0% | measured |
| MMLU-Redux | 94.4% | estimated ± 1.1 pp, medium confidence |
| NL2Repo | 48.9% | measured |
| QwenClawBench | 63.6% | estimated ± 2.6 pp, medium confidence |
| SuperGPQA | 69.3% | estimated ± 7.5 pp, medium confidence |
| Terminal-Bench 2.0 | 72.1% | estimated ± 5.9 pp, medium confidence |
| Toolathlon | 48.2% | measured |
| HealthBench Hard | 14.3% | estimated ± 5.1 pp, low confidence |
| LiveCodeBench Pro | 85.3% | estimated ± 6.0 pp, low confidence |
| MedXpertQA (Text) | 57.5% | estimated ± 4.5 pp, medium confidence |
| MMLU-Pro (Arcee) | 87.3% | estimated ± 3.4 pp, low confidence |
| React Native Evals | 86.1% | estimated ± 2.4 pp, low confidence |
| ResearchClawBench | 20.7% | measured |
| SWE-Rebench | 58.1% | estimated ± 8.9 pp, low confidence |
| ARC-AGI-3 | 0.0% | estimated ± 2.1 pp, medium confidence |
| BioMysteryBench (human-solvable) | 89.2% | estimated ± 0.6 pp, medium confidence |
| DRACO | 79.5% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 55.1% | estimated ± 1.6 pp, low confidence |
| HealthBench (raw) | 50.1% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 57.7% | estimated ± 1.3 pp, medium confidence |
| HealthBench Professional (raw) | 60.4% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 16.4% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 81.3% | estimated ± 1.8 pp, low confidence |
| AIME 2025 | 99.2% | estimated ± 1.5 pp, low confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 58.4% | measured |
| IMOAnswerBench | 85.0% | estimated ± 5.9 pp, medium confidence |
| MMMLU | 90.2% | estimated ± 1.1 pp, medium confidence |
| MMLU | 88.6% | estimated ± 1.1 pp, medium confidence |
| MATH-500 | 98.2% | estimated ± 3.1 pp, low confidence |