Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and Mistral 7B Instruct v0.2 (Mistral AI · France) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; Mistral 7B Instruct v0.2 is conditional. They part ways on training data: Gemma 4 E4B Instruct is "Domain-level summary", Mistral 7B Instruct v0.2 is "Undisclosed".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, Gemma 4 E4B is an edge-optimised multimodal variant under pure Apache 2.0 with no prohibited-use carve-outs. Audio input (30s) and on-device deployment push GDPR biometric, AI Act emotion-recognition, and Art. 25 data-protection-by-design obligations entirely onto the integrator with no Google-side telemetry or kill-switch. | 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. |
| Last reviewed | 2026-04-17 | 2026-04-17 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | EU (France) |
| Performance & pricing? | ||
| Quality index | 15/100 | 7/100 |
| Speed | — | 193 tok/s |
| Blended price | — | $0.25/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.