Side-by-side comparison of GLM-5.1 (Zhipu AI (Z.ai) · China) and MiniMax M2 (MiniMax · China) for self-hosted deployment of the open-weight model. GLM-5.1 is rated conditional; MiniMax M2 is conditional. They part ways on licence: GLM-5.1 is "MIT", MiniMax M2 is "Modified MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per current documentation, GLM-5.1 is released under a verbatim MIT License with no use restrictions, enabling self-hosted commercial deployment. However, training-data opacity, Beijing-based publisher, and Zhipu AI's presence on the US BIS Entity List create EU AI Act transparency and supply-chain screening risks for regulated deployers. | Conditional 229B agent-focused model from MiniMax, Modified MIT. Strong software-engineering and tool-use benchmarks. Family has iterated fast (M2 / M2.1 / M2.5 / M2.7 across 2025-2026). Same Chinese-origin alignment and supply-chain considerations as DeepSeek, Qwen, Kimi. |
| Last reviewed | 2026-04-17 | 2026-04-16 |
| Open-weight | ||
| Licence | MIT | Modified MIT |
| Commercial use | Unrestricted | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | China (Beijing) | China |
| Performance & pricing? | ||
| Quality index | 44/100 | 36/100 |
| Speed | 48 tok/s | 72 tok/s |
| Blended price | $2.15/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.