Side-by-side comparison of GLM-5.1 (Zhipu AI (Z.ai) · China) and MiMo-V2.5 (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. GLM-5.1 is rated conditional; MiMo-V2.5 is conditional. They part ways on training data: GLM-5.1 is "Undisclosed", MiMo-V2.5 is "Categories only".
| 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 MiMo-V2.5 is the omnimodal sibling of MiMo-V2.5-Pro — text, vision, audio, and video on a single sparse-MoE backbone, also under MIT. Same posture as the Pro: deployable weights, but the China origin and stage-level training disclosure mean any EU rollout needs self-hosting plus a deployer-prepared GPAI compliance file, with extra attention to Article 50 transparency for synthetic and biometric outputs. |
| Last reviewed | 2026-04-17 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Categories only |
| Origin | China (Beijing) | China |
| Performance & pricing? | ||
| Quality index | 44/100 | 49/100 |
| Speed | 48 tok/s | — |
| Blended price | $2.15/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.