Reasoning
Mathematical and scientific problem solving.
Model profile / Z.AI
GLM-4.7 is a open-weight model tracked via Artificial Analysis independent evaluations for capability comparison across coding, agents, and reasoning.
Four areas of evidence
Mathematical and scientific problem solving.
Software engineering and programming.
Factual reliability and instruction following.
Tool use, workflows and professional tasks.
Current index snapshot · 2026-09-16. 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-4.7 is highlighted wherever a compatible measurement is available.
Lumina Capabilities Index
The current Capabilities cohort, with this model highlighted.
Chart loads as you explore
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.
| Benchmark | Result | Published configuration | Source |
|---|---|---|---|
| Artificial Analysis Agentic Index2026 | 25.39 index | Exact BenchLM registry variant GLM-4.7; 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 | 25.39 index | Exact BenchLM registry variant GLM-4.7; 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 |
| Artificial Analysis Agentic Index2026 | 25.39 index | Exact BenchLM registry variant GLM-4.7; bulk export does not retain a complete upstream harness configuration.Source-native system | BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01source-checked · reference-only |
| Artificial Analysis Coding Index2026 | 45.26 index | Exact BenchLM registry variant GLM-4.7; 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 Coding Index2026 | 45.26 index | Exact BenchLM registry variant GLM-4.7; 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 |
| Artificial Analysis Coding Index2026 | 45.26 index | Exact BenchLM registry variant GLM-4.7; bulk export does not retain a complete upstream harness configuration.Source-native system | BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01source-checked · reference-only |
| GPQA Diamond2026 | 85.9% | Exact BenchLM registry variant GLM-4.7; 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 |
| GPQA Diamond2026 | 85.9% | Exact BenchLM registry variant GLM-4.7; 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 |
| GPQA Diamond2026 | 85.9% | Exact BenchLM registry variant GLM-4.7; bulk export does not retain a complete upstream harness configuration.Source-native system | BenchLM public datasets — 2026-08-01 ↗Observed 2026-08-01 · checked 2026-08-01source-checked · reference-only |
| IFBench2026 | 67.9% | Exact BenchLM registry variant GLM-4.7; 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 |