Model profile / Z.AI
Z.AI's GLM-5.2 model tracked via the BenchLM July 2026 leaderboard for capability comparison.
Four areas of evidence
Mathematical and scientific problem solving.
Score uses the admitted direct native evidence under the selected method.
Software engineering and programming.
Score uses the admitted direct native evidence under the selected method.
Factual reliability and instruction following.
Score uses the admitted direct native evidence under the selected method.
Tool use, workflows and professional tasks.
Current index snapshot · 2026-09-13. Each category uses its own scale; scores across categories are not directly comparable. Evidence counts describe the retained Capabilities inputs; a family can contain several tasks or configurations. A point lead does not establish superiority.
Performance in context
GLM-5.2 is highlighted wherever a compatible measurement is available.
Lumina Capabilities Index
The current Capabilities cohort, with this model highlighted.
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Lumina Capabilities Index
The current Capabilities cohort, with this model highlighted.
Chart loads as you explore
Explore the detail
Score uses the admitted direct native evidence under the selected method.
Score uses the admitted direct native evidence under the selected method.
Score uses the admitted direct native evidence under the selected method.
Score uses the admitted direct native evidence under the selected method.
| Benchmark | Result | Published configuration | Source |
|---|---|---|---|
| AA Long Context Reasoningstandard | 76.667% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis AA-LCR evaluation | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| CritPtstandard | 20.857% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis CritPt evaluation | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| GDPval-AA v2v2 | 49.878% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis GDPval-AA v2 | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| GPQA Diamonddiamond | 89.495% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis GPQA Diamond evaluation | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| Humanity's Last Examtext-only current | 41.149% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis text-only HLE evaluation | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| SciCode2024 | 50.463% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis SciCode evaluation | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · reference-only |
| τ³-Banking3 | 34.639% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis tau3-Banking evaluation | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| Terminal-Bench2.1 | 77.903% | GLM-5.2 (max) (Artificial Analysis independent run)Artificial Analysis Terminal-Bench v2.1 in e2b | GLM-5.2 (max) individual evaluations ↗Observed 2026-08-29 · checked 2026-08-29independently-verified · ranking-eligible |
| Artificial Analysis Agentic Index2026 | 43.06 index | Exact BenchLM registry variant GLM-5.2; bulk export does not retain a complete upstream harness configuration.Source-native system | BenchLM public datasets — 21 July 2026 ↗Observed 2026-07-21 · checked 2026-07-21source-checked · reference-only |
| Artificial Analysis Agentic Index2026 | 43.06 index | Exact BenchLM registry variant GLM-5.2; bulk export does not retain a complete upstream harness configuration.Source-native system | BenchLM public datasets — 2026-07-27 ↗Observed 2026-07-27 · checked 2026-07-27source-checked · reference-only |
Specialist evidence
Source-native operational evidence for GLM-5.2. Exact configurations remain separate. Costs are comparable only within the same selected benchmark/evaluation, and these rows never enter Overall Score.
| Evaluation | Exact configuration | Performance | Cost / task | Tokens / task | Execution |
|---|---|---|---|---|---|
| Artificial Analysis Coding Agents · 1.4 · composite Artificial Analysis Coding Agents · checked 2026-08-29 | glm-5-2-max Claude Code - GLM-5.2 | 43.3 | $6.66 | 6619530 | 127.4 steps |
| CursorBench · 3.2 · main CursorBench · checked 2026-08-29 | glm-5-2-max GLM 5.2 Max | 55.0% | $1.76 | 35946 | 58 steps |
