Side-by-side comparison of Mistral Small 4 (Mistral AI · France) and Llama 3.1 Nemotron 70B (NVIDIA · USA) for self-hosted deployment of the open-weight model. Mistral Small 4 is rated EU-ready; Llama 3.1 Nemotron 70B is conditional. They part ways on licence: Mistral Small 4 is "Apache 2.0", Llama 3.1 Nemotron 70B is "Llama community".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Unified model folding Instruct, reasoning (Magistral) and code (Devstral) into a single 119B MoE under Apache 2.0. 6.5B active params, 256K context, 24 languages, toggleable reasoning effort. Strongest permissive EU option at this scale. | Conditional NVIDIA's Llama 3.1 fine-tune with custom RLHF. Inherits Llama 3.1 Community License terms. Strong conversational quality; useful default when you want Llama behaviour with NVIDIA's alignment. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Llama community |
| Commercial use | Yes | With caps |
| Training data | Undisclosed | Partial |
| Origin | EU | USA |
| Performance & pricing? | ||
| Quality index | 19/100 | 13/100 |
| Speed | 147 tok/s | 42 tok/s |
| Blended price | $0.26/M | $1.20/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.