Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and MiMo-V2.5 (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; MiMo-V2.5 is conditional. They part ways on licence: Gemma 4 E4B Instruct is "Apache 2.0", MiMo-V2.5 is "MIT".
| 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 MiMo-V2.5 is the omnimodal sibling of MiMo-V2.5-Pro — text, vision, audio, and video on a single sparse-MoE backbone, also under MIT. Same posture as the Pro: deployable weights, but the China origin and stage-level training disclosure mean any EU rollout needs self-hosting plus a deployer-prepared GPAI compliance file, with extra attention to Article 50 transparency for synthetic and biometric outputs. |
| Last reviewed | 2026-04-17 | 2026-04-28 |
| Open-weight | ||
| Licence | Apache 2.0 | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Domain-level summary | Categories only |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 15/100 | 49/100 |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.