Side-by-side comparison of IBM Granite 4.1 8B (IBM · USA) and Mistral Nemo (Mistral AI · France) for self-hosted deployment of the open-weight model. IBM Granite 4.1 8B is rated EU-ready; Mistral Nemo is EU-ready. They part ways on training data: IBM Granite 4.1 8B is "Disclosed", Mistral Nemo is "Undisclosed corpus".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Per the published model card, Granite 4.1 8B is an Apache 2.0 9B-parameter dense decoder with a 131k-token context, sourced from publicly-available datasets, internal synthetic data and human-curated material. IBM continues the unusual-for-the-industry training-data transparency that anchored the Granite 3 family, and offers IP indemnification when the model is consumed via watsonx — a strong default for regulated enterprise pilots that need a defensible weights-available alternative to hyperscaler frontier models. | 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 | 12/100 | — |
| Speed | 91 tok/s | — |
| Blended price | $0.06/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.