Side-by-side comparison of Mistral Nemo (Mistral AI · France) and Step-3.7-Flash (StepFun) for self-hosted deployment of the open-weight model. Mistral Nemo is rated EU-ready; Step-3.7-Flash is conditional. They part ways on training data: Mistral Nemo is "Undisclosed corpus", Step-3.7-Flash 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 LICENSE, the Step-3.7-Flash weights ship without commercial restriction — a 198B / 11B-active vision-language MoE with a 256k-token context aimed at tool-heavy and agentic workflows. The remaining EU-readiness gaps are the entirely undisclosed training corpus and StepFun's Shanghai-based vendor jurisdiction; deploy on self-managed EU infrastructure and document the Art. 50 transparency story for any synthetic or biometric output. |
| Last reviewed | 2026-05-19 | 2026-05-30 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed corpus | Undisclosed |
| Origin | EU (France) | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.