Side-by-side comparison of Gemma 4 (Google · USA) and Mistral Nemo (Mistral AI · France) for self-hosted deployment of the open-weight model. Gemma 4 is rated EU-ready; Mistral Nemo is EU-ready. They part ways on commercial use: Gemma 4 is "Yes", Mistral Nemo is "Unrestricted".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Major licence shift from Gemma 2/3: Apache 2.0 across the family. 140+ languages, multimodal (text/image/audio/video on small sizes), 128K-256K context. Strong permissive default for EU deployments that need robust multilingual support. | EU-ready A 12B model from Paris-based Mistral AI, co-trained with NVIDIA and shipped under Apache 2.0 with a 128k context window and strong coverage of major EU languages. EU-headquartered vendor plus a fully permissive licence make this one of the cleanest open-weight choices for organisations prioritising AI Act and GDPR alignment, with the main caveat being the usual lack of detail on the training corpus. |
| Last reviewed | 2026-04-15 | 2026-05-19 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Partial | Undisclosed corpus |
| Origin | USA | EU (France) |
| Performance & pricing? | ||
| Quality index | 32/100 | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.