Quick answer: GLM-4.7 is Zhipu AI's June 2025 model scoring 52.0% BrowseComp, 42.8% HLE, 85.7% GPQA Diamond, and 23.5% CyberGym. Proprietary, preceding the GLM-5.2 generation.
Where GLM-4.7 leads
Where it lags
Best for: Zhipu AI (BigModel) platform users; Chinese-language applications before GLM-5.2 availability; moderate BrowseComp pipelines.
GLM-4.7 is Zhipu AI's June 2025 model in the GLM-4 generation — a stepping stone before the GLM-5 series. The 52.0% BrowseComp and 42.8% HLE represent competitive but not frontier-leading scores at the June 2025 timeframe.
GLM-4.7 is now superseded by GLM-5.2 (July 2026), which substantially improves on all metrics. For new deployments, GLM-5.2 is the recommended GLM model.
| Field | Value |
|---|---|
| Organization | Zhipu AI |
| License | Proprietary |
| Release date | June 2025 |
| Modality | Text only |
Available via Zhipu AI open platform (bigmodel.cn). Refer to Zhipu pricing.
| Benchmark | Score | Source | Date |
|---|---|---|---|
| BrowseComp | 52.0% | Benchgen evaluation | 2025-06 |
| Humanity's Last Exam | 42.8% | Benchgen evaluation | 2025-06 |
| GPQA Diamond | 85.7% | Benchgen evaluation | 2025-06 |
| CyberGym | 23.5% | Benchgen evaluation | 2025-06 |
| Model | HLE | BrowseComp | GPQA Diamond | License |
|---|---|---|---|---|
| GLM-4.7 | 42.8% | 52.0% | 85.7% | Proprietary |
| GLM-5.2 | 54.7% | — | 91.2% | Proprietary |
| Kimi K2.6 | 36.4% | 83.2% | 90.5% | Apache 2.0 |
GLM-4.7 → GLM-5.2: all metrics improve. Use GLM-5.2 for new deployments unless specific API/pricing constraints favour GLM-4.7.
Specs from Zhipu AI's GLM-4.7 release (June 2025) and Benchgen evaluations. Last updated 2026-07-24.