Side-by-side comparison of IBM Granite 4.1 30B (IBM · USA) and Mistral Nemo (Mistral AI · France) for self-hosted deployment of the open-weight model. IBM Granite 4.1 30B is rated EU-ready; Mistral Nemo is EU-ready. They part ways on training data: IBM Granite 4.1 30B is "Disclosed", Mistral Nemo is "Undisclosed corpus".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Per the published model card, Granite 4.1 30B is an Apache 2.0 30-billion-parameter dense decoder with a 131k-token context, trained on the same publicly-available + synthetic + human-curated mix that anchors the rest of the Granite family. The larger sibling of Granite 4.1 8B, positioned for enterprise workloads where the 8B class falls short on reasoning depth — same defensible-default profile, with IP indemnification available via watsonx. | 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 | 2026-05-03 | 2026-05-19 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Disclosed | Undisclosed corpus |
| Origin | USA | EU (France) |
| Performance & pricing? | ||
| Quality index | 15/100 | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.