Side-by-side comparison of Mistral Small 4 (Mistral AI · France) and OLMo 2 32B (AllenAI · USA) for self-hosted deployment of the open-weight model. Mistral Small 4 is rated EU-ready; OLMo 2 32B is EU-ready. They part ways on training data: Mistral Small 4 is "Undisclosed", OLMo 2 32B is "Disclosed".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | EU-ready Fully open model: weights, training data (Dolma 2), training code, checkpoints, and logs all published. Apache 2.0 across the board. Strongest choice when AI Act transparency obligations matter. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Yes |
| Training data | Undisclosed | Disclosed |
| Origin | EU | USA |
| Performance & pricing? | ||
| Quality index | 19/100 | 11/100 |
| Speed | 147 tok/s | — |
| Blended price | $0.26/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.