Side-by-side comparison of MiniMax M2 (MiniMax · China) and MiniMax-M2.7 (MiniMax AI · China) for self-hosted deployment of the open-weight model. MiniMax M2 is rated conditional; MiniMax-M2.7 is blocked. They part ways on licence: MiniMax M2 is "Modified MIT", MiniMax-M2.7 is "MiniMax Non-Commercial License".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 229B agent-focused model from MiniMax, Modified MIT. Strong software-engineering and tool-use benchmarks. Family has iterated fast (M2 / M2.1 / M2.5 / M2.7 across 2025-2026). Same Chinese-origin alignment and supply-chain considerations as DeepSeek, Qwen, Kimi. | 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 | 2026-04-16 | 2026-04-17 |
| Open-weight | ||
| Licence | Modified MIT | MiniMax Non-Commercial License |
| Commercial use | Yes | Non-commercial only |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | 36/100 | 50/100 |
| Speed | 72 tok/s | 46 tok/s |
| Blended price | $0.53/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||