Side-by-side comparison of Mistral 7B Instruct v0.2 (Mistral AI · France) and Qwen 3.5 (Alibaba · China) for self-hosted deployment of the open-weight model. Mistral 7B Instruct v0.2 is rated conditional; Qwen 3.5 is conditional. They part ways on commercial use: Mistral 7B Instruct v0.2 is "Unrestricted", Qwen 3.5 is "Yes".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, Mistral 7B Instruct v0.2 is an EU-origin open-weight model under standard Apache 2.0 — commercial deployment and self-hosting are permitted without field-of-use restrictions. Training-data opacity is the primary EU AI Act Art. 53 gap, but the French controller, absence of CLOUD Act exposure, and Mistral's published DPA make this a strong baseline for regulated EU workloads. | 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 | 2026-04-17 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | EU (France) | China |
| Performance & pricing? | ||
| Quality index | 7/100 | 40/100 |
| Speed | 193 tok/s | 53 tok/s |
| Blended price | $0.25/M | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.