Side-by-side comparison of Mixtral 8x22B Instruct (Mistral AI · France) and Nemotron-3 Nano Omni 30B-A3B Reasoning (NVIDIA · USA) for self-hosted deployment of the open-weight model. Mixtral 8x22B Instruct is rated EU-ready; Nemotron-3 Nano Omni 30B-A3B Reasoning is conditional. They part ways on licence: Mixtral 8x22B Instruct is "Apache 2.0", Nemotron-3 Nano Omni 30B-A3B Reasoning is "NVIDIA Open Model".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready A rare combination of permissive licensing, EU provenance, and credible multilingual coverage — Apache 2.0 leaves commercial deployment essentially unconstrained, and Paris-based Mistral simplifies the GDPR controller story compared with US-hosted peers. The catch is the training corpus: Mistral has never published a meaningful dataset breakdown, so AI Act transparency obligations on training-data summaries land squarely on the deployer. | Conditional Per the NVIDIA Open Model Agreement, Nemotron-3 Nano Omni is commercially usable with a NOTICE-file attribution requirement and U.S. export-compliance obligations. Multimodal MoE (31B total / 3B active) accepting video, audio, image and text input, with reasoning-style chain-of-thought output. Training data is unusually well-documented (1,395 datasets, modality breakdown, CSAM scanning) — useful for AI Act Article 53 mapping. Vendor jurisdiction remains the US. |
| Last reviewed | 2026-05-19 | 2026-05-03 |
| Open-weight | ||
| Licence | Apache 2.0 | NVIDIA Open Model |
| Commercial use | Unrestricted | Permitted (with attribution) |
| Training data | Undisclosed | Disclosed |
| Origin | EU (France) | USA |
| Performance & pricing? | ||
| Quality index | — | 21/100 |
| Speed | — | 344 tok/s |
| Blended price | — | $0.13/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.