Side-by-side comparison of Mistral Nemo (Mistral AI · France) and Qwen3.6-27B (Alibaba (Qwen)) for self-hosted deployment of the open-weight model. Mistral Nemo is rated EU-ready; Qwen3.6-27B is conditional. They part ways on training data: Mistral Nemo is "Undisclosed corpus", Qwen3.6-27B is "Undisclosed".
| 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 Per the published Apache 2.0 licence, the Qwen3.6-27B weights are deployable without commercial restriction, including for vision-language and 1M-context workloads. The blockers for regulated EU use are the China-based vendor and the absence of any training-data disclosure on the model card — both should be mitigated through self-hosting and a deployer-prepared GPAI compliance file. |
| Last reviewed | 2026-05-19 | 2026-04-28 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed corpus | Undisclosed |
| Origin | EU (France) | China |
| Performance & pricing? | ||
| Quality index | — | 46/100 |
| Speed | — | 66 tok/s |
| Blended price | — | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.