Side-by-side comparison of Codestral 22B (Mistral AI · France) and MiniMax-M2.7 (MiniMax AI · China) for self-hosted deployment of the open-weight model. Codestral 22B is rated conditional; MiniMax-M2.7 is blocked. They part ways on licence: Codestral 22B is "MNPL (non-prod)", MiniMax-M2.7 is "MiniMax Non-Commercial License".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional EU code model trained on 80+ languages. Licensed under Mistral Non-Production License — blocked for any production or commercial deployment without a paid commercial licence. Use Codestral Mamba (Apache 2.0) if you need commercial freedom. | Blocked Per current documentation, the MiniMax Non-Commercial License prohibits commercial deployment without individually negotiated written authorization from MiniMax, making the weights unsuitable for EU commercial workloads out-of-the-box. Opaque training data and Shanghai-based publisher compound the EU AI Act and data-transfer gaps. |
| Last reviewed | 2026-04-15 | 2026-04-17 |
| Open-weight | ||
| Licence | MNPL (non-prod) | MiniMax Non-Commercial License |
| Commercial use | Paid licence req. | Non-commercial only |
| Training data | Partial | Undisclosed |
| Origin | EU | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | — | 50/100 |
| Speed | — | 46 tok/s |
| Blended price | — | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.