Side-by-side comparison of GLM-5.1 (Zhipu AI (Z.ai) · China) and MiMo-V2.5-Pro (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. GLM-5.1 is rated conditional; MiMo-V2.5-Pro is conditional. They part ways on training data: GLM-5.1 is "Undisclosed", MiMo-V2.5-Pro 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 Per the published LICENSE file, MiMo-V2.5-Pro ships under MIT, so the weights themselves carry no commercial restriction. The remaining EU-readiness gaps are the China-based vendor and the corpus disclosure that names training-stage categories (text pre-training, multimodal pre-training, SFT, RL, MOPD) without listing datasets — both should be addressed in any GPAI deployer file before regulated use. |
| 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 | 54/100 |
| Speed | 48 tok/s | 65 tok/s |
| Blended price | $2.15/M | $1.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.