Side-by-side comparison of MiMo-V2.5 (Xiaomi (MiMo)) and Mistral Small 4 (Mistral AI · France) for self-hosted deployment of the open-weight model. MiMo-V2.5 is rated conditional; Mistral Small 4 is EU-ready. They part ways on licence: MiMo-V2.5 is "MIT", Mistral Small 4 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | 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 | 2026-04-28 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Categories only | Undisclosed |
| Origin | China | EU |
| Performance & pricing? | ||
| Quality index | 49/100 | 19/100 |
| Speed | — | 147 tok/s |
| Blended price | — | $0.26/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.