Side-by-side comparison of Mistral Nemo (Mistral AI · France) and QwQ-32B (Alibaba · China) for self-hosted deployment of the open-weight model. Mistral Nemo is rated EU-ready; QwQ-32B is conditional. They part ways on commercial use: Mistral Nemo is "Unrestricted", QwQ-32B is "Yes".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | Conditional 32B dense reasoning model under Apache 2.0. Sweet spot for self-hostable reasoning: 4090-class GPU at 4-bit, single H100 at bf16. Chinese-origin caveats unchanged. |
| Last reviewed | 2026-05-19 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Undisclosed corpus | Undisclosed |
| Origin | EU (France) | China |
| Performance & pricing? | ||
| Quality index | — | 20/100 |
| Speed | — | 33 tok/s |
| Blended price | — | $0.74/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.