Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and MiMo-V2.5-Pro (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; MiMo-V2.5-Pro is conditional. They part ways on licence: Gemma 4 E4B Instruct is "Apache 2.0", MiMo-V2.5-Pro 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 Per the published LICENSE file, MiMo-V2.5-Pro ships under MIT, so the weights themselves carry no commercial restriction. The remaining EU-readiness gaps are the China-based vendor and the corpus disclosure that names training-stage categories (text pre-training, multimodal pre-training, SFT, RL, MOPD) without listing datasets — both should be addressed in any GPAI deployer file before regulated use. |
| 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 | 54/100 |
| Speed | — | 65 tok/s |
| Blended price | — | $1.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.