Side-by-side comparison of MiniMax-M2.7 (MiniMax AI · China) and Mistral Small 4 (Mistral AI · France) for self-hosted deployment of the open-weight model. MiniMax-M2.7 is rated blocked; Mistral Small 4 is EU-ready. They part ways on licence: MiniMax-M2.7 is "MiniMax Non-Commercial License", Mistral Small 4 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | EU-ready Unified model folding Instruct, reasoning (Magistral) and code (Devstral) into a single 119B MoE under Apache 2.0. 6.5B active params, 256K context, 24 languages, toggleable reasoning effort. Strongest permissive EU option at this scale. |
| Last reviewed | 2026-04-17 | 2026-04-15 |
| Open-weight | ||
| Licence | MiniMax Non-Commercial License | Apache 2.0 |
| Commercial use | Non-commercial only | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | China (Shanghai) | EU |
| Performance & pricing? | ||
| Quality index | 50/100 | 19/100 |
| Speed | 46 tok/s | 147 tok/s |
| Blended price | $0.53/M | $0.26/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.