Side-by-side comparison of Gemma 4 31B Instruct (Google DeepMind · United States) and Mixtral 8x22B Instruct (Mistral AI · France) for self-hosted deployment of the open-weight model. Gemma 4 31B Instruct is rated conditional; Mixtral 8x22B Instruct is EU-ready. They part ways on training data: Gemma 4 31B Instruct is "Domain-level summary", Mixtral 8x22B Instruct is "Undisclosed".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, Gemma 4 31B ships under pure Apache 2.0 — a notable break from the Gemma Terms of Use used in prior generations — with no prohibited-use carve-outs. US origin carries Schrems-II and CLOUD-Act exposure, and at 30.7B dense the model likely crosses EU AI Act GPAI systemic-risk thresholds that enterprise deployers should document. | 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. |
| Last reviewed | 2026-04-17 | 2026-05-19 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | EU (France) |
| Performance & pricing? | ||
| Quality index | 32/100 | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.