Side-by-side comparison of Mistral Small 4 (Mistral AI · France) and Qwen 3.5 (Alibaba · China) for self-hosted deployment of the open-weight model. Mistral Small 4 is rated EU-ready; Qwen 3.5 is conditional. They part ways on origin: Mistral Small 4 is "EU", Qwen 3.5 is "China".
| 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 Hybrid Gated-DeltaNet + MoE flagship (397B total, 17B active) under Apache 2.0. Native vision, 201 languages, 262K context (1M with YaRN). Licence is clean; Chinese-origin alignment and supply-chain considerations persist. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | EU | China |
| Performance & pricing? | ||
| Quality index | 19/100 | 40/100 |
| Speed | 147 tok/s | 53 tok/s |
| Blended price | $0.26/M | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.