Side-by-side comparison of Mixtral 8x22B Instruct (Mistral AI · France) and SmolLM3 3B (Hugging Face · USA) for self-hosted deployment of the open-weight model. Mixtral 8x22B Instruct is rated EU-ready; SmolLM3 3B is EU-ready. They part ways on commercial use: Mixtral 8x22B Instruct is "Unrestricted", SmolLM3 3B is "Yes".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready A rare combination of permissive licensing, EU provenance, and credible multilingual coverage — Apache 2.0 leaves commercial deployment essentially unconstrained, and Paris-based Mistral simplifies the GDPR controller story compared with US-hosted peers. The catch is the training corpus: Mistral has never published a meaningful dataset breakdown, so AI Act transparency obligations on training-data summaries land squarely on the deployer. | EU-ready Fully open small model: Apache 2.0 weights, training data published, engineering blueprint public. 6 native languages (EN/FR/ES/DE/IT/PT) covers major EU markets. 128K context via YARN. Strong default for edge or on-prem EU deployments where transparency matters. |
| Last reviewed | 2026-05-19 | 2026-04-16 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Undisclosed | Disclosed |
| Origin | EU (France) | USA |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.