Side-by-side comparison of MiniCPM5-1B (OpenBMB) and MiniMax M2 (MiniMax · China) for self-hosted deployment of the open-weight model. MiniCPM5-1B is rated conditional; MiniMax M2 is conditional. They part ways on licence: MiniCPM5-1B is "Apache 2.0", MiniMax M2 is "Modified MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published Apache 2.0 LICENSE, the 1.08B-parameter weights carry no use restrictions and are well suited to on-device or edge deployments. Unusually for a Chinese-origin release, OpenBMB ships a full data card naming every pre-training and SFT corpus, which closes the AI Act Art. 53 transparency gap most peers leave open. The remaining hedge for regulated EU buyers is vendor jurisdiction (Tsinghua-affiliated lab, mainland China) — self-host the weights and treat any vendor-side service as out of scope. | 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. |
| Last reviewed | 2026-05-30 | 2026-04-16 |
| Open-weight | ||
| Licence | Apache 2.0 | Modified MIT |
| Commercial use | Unrestricted | Yes |
| Training data | Documented | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | — | 36/100 |
| Speed | — | 72 tok/s |
| Blended price | — | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.