Side-by-side comparison of Mixtral 8x22B Instruct (Mistral AI · France) and Phi-4 (Microsoft · USA) for self-hosted deployment of the open-weight model. Mixtral 8x22B Instruct is rated EU-ready; Phi-4 is EU-ready. They part ways on licence: Mixtral 8x22B Instruct is "Apache 2.0", Phi-4 is "MIT".
| 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 MIT-licensed 14B from Microsoft Research. Heavy use of synthetic training data is disclosed; English-primary (thin multilingual coverage). Strongest small-model option for permissive-licence EU deployments. |
| Last reviewed | 2026-05-19 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | MIT |
| Commercial use | Unrestricted | Yes |
| Training data | Undisclosed | Partial |
| Origin | EU (France) | USA |
| Performance & pricing? | ||
| Quality index | — | 10/100 |
| Speed | — | 29 tok/s |
| Blended price | — | $0.22/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.