Side-by-side comparison of Codestral 22B (Mistral AI · France) and MiMo-V2.5 (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. Codestral 22B is rated conditional; MiMo-V2.5 is conditional. They part ways on licence: Codestral 22B is "MNPL (non-prod)", MiMo-V2.5 is "MIT".
| 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. | 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. |
| Last reviewed | 2026-04-15 | 2026-04-28 |
| Open-weight | ||
| Licence | MNPL (non-prod) | MIT |
| Commercial use | Paid licence req. | Unrestricted |
| Training data | Partial | Categories only |
| Origin | EU | China |
| Performance & pricing? | ||
| Quality index | — | 49/100 |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.