Side-by-side comparison of Codestral 22B (Mistral AI · France) and Llama 4 Scout (Meta · USA) for self-hosted deployment of the open-weight model. Codestral 22B is rated conditional; Llama 4 Scout is conditional. They part ways on licence: Codestral 22B is "MNPL (non-prod)", Llama 4 Scout is "Llama community".
| 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 Smaller Llama 4 variant: 17B active over 16 experts, multimodal. More self-hostable than Maverick. Same Llama community licence caveats. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | MNPL (non-prod) | Llama community |
| Commercial use | Paid licence req. | With caps |
| Training data | Partial | Undisclosed |
| Origin | EU | USA |
| Performance & pricing? | ||
| Quality index | — | 14/100 |
| Speed | — | 128 tok/s |
| Blended price | — | $0.29/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.