Side-by-side comparison of GLM-5.1 (Zhipu AI (Z.ai) · China) and Mistral 7B Instruct v0.2 (Mistral AI · France) for self-hosted deployment of the open-weight model. GLM-5.1 is rated conditional; Mistral 7B Instruct v0.2 is conditional. They part ways on licence: GLM-5.1 is "MIT", Mistral 7B Instruct v0.2 is "Apache 2.0".
| 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 Based on published licence terms, Mistral 7B Instruct v0.2 is an EU-origin open-weight model under standard Apache 2.0 — commercial deployment and self-hosting are permitted without field-of-use restrictions. Training-data opacity is the primary EU AI Act Art. 53 gap, but the French controller, absence of CLOUD Act exposure, and Mistral's published DPA make this a strong baseline for regulated EU workloads. |
| Last reviewed | 2026-04-17 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China (Beijing) | EU (France) |
| Performance & pricing? | ||
| Quality index | 44/100 | 7/100 |
| Speed | 48 tok/s | 193 tok/s |
| Blended price | $2.15/M | $0.25/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.