Side-by-side comparison of GLM-4.5 (Zhipu AI · China) and Hy3-preview (Tencent) for self-hosted deployment of the open-weight model. GLM-4.5 is rated conditional; Hy3-preview is blocked. They part ways on licence: GLM-4.5 is "MIT", Hy3-preview is "Tencent Hy Community".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional MoE flagship from Zhipu under MIT. Strong agentic and coding benchmarks. Same Chinese-origin alignment and geopolitical considerations as DeepSeek / Qwen. | Blocked Per the Tencent Hy Community License Agreement (Sections 1(l) and 5(c)), the licence's defined Territory excludes the European Union, the United Kingdom and South Korea, and licensees are expressly prohibited from using, distributing or displaying the model or its outputs outside that Territory. Under those terms the weights are not deployable for EU users or workloads, regardless of architecture quality. |
| Last reviewed | 2026-04-15 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | Tencent Hy Community |
| Commercial use | Yes | EU territory excluded |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 26/100 | 42/100 |
| Speed | 44 tok/s | 85 tok/s |
| Blended price | $0.84/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.