Side-by-side comparison of Codestral 22B (Mistral AI · France) and Gemma 4 (Google · USA) for self-hosted deployment of the open-weight model. Codestral 22B is rated conditional; Gemma 4 is EU-ready. They part ways on licence: Codestral 22B is "MNPL (non-prod)", Gemma 4 is "Apache 2.0".
| 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. | EU-ready Major licence shift from Gemma 2/3: Apache 2.0 across the family. 140+ languages, multimodal (text/image/audio/video on small sizes), 128K-256K context. Strong permissive default for EU deployments that need robust multilingual support. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | MNPL (non-prod) | Apache 2.0 |
| Commercial use | Paid licence req. | Yes |
| Training data | Partial | Partial |
| Origin | EU | USA |
| Performance & pricing? | ||
| Quality index | — | 32/100 |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.