Side-by-side comparison of Gemma 4 (Google · USA) and MiniMax-M2.7 (MiniMax AI · China) for self-hosted deployment of the open-weight model. Gemma 4 is rated EU-ready; MiniMax-M2.7 is blocked. They part ways on licence: Gemma 4 is "Apache 2.0", MiniMax-M2.7 is "MiniMax Non-Commercial License".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Major licence shift from Gemma 2/3: Apache 2.0 across the family. 140+ languages, multimodal (text/image/audio/video on small sizes), 128K-256K context. Strong permissive default for EU deployments that need robust multilingual support. | Blocked Per current documentation, the MiniMax Non-Commercial License prohibits commercial deployment without individually negotiated written authorization from MiniMax, making the weights unsuitable for EU commercial workloads out-of-the-box. Opaque training data and Shanghai-based publisher compound the EU AI Act and data-transfer gaps. |
| Last reviewed | 2026-04-15 | 2026-04-17 |
| Open-weight | ||
| Licence | Apache 2.0 | MiniMax Non-Commercial License |
| Commercial use | Yes | Non-commercial only |
| Training data | Partial | Undisclosed |
| Origin | USA | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | 32/100 | 50/100 |
| Speed | — | 46 tok/s |
| Blended price | — | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.