Side-by-side comparison of GPT-OSS 20B (OpenAI · USA) and MiniMax-M2.7 (MiniMax AI · China) for self-hosted deployment of the open-weight model. GPT-OSS 20B is rated conditional; MiniMax-M2.7 is blocked. They part ways on licence: GPT-OSS 20B is "Apache 2.0", MiniMax-M2.7 is "MiniMax Non-Commercial License".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, GPT-OSS 20B is released under Apache 2.0 with no field-of-use carve-outs in the licence itself; OpenAI publishes a separate non-binding 'gpt-oss usage policy' as guidance. Training-data disclosure is domain-level only, and US origin carries Schrems-II / CLOUD-Act exposure that enterprise deployers should document for EU workloads. | 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 | 2026-04-17 | 2026-04-17 |
| Open-weight | ||
| Licence | Apache 2.0 | MiniMax Non-Commercial License |
| Commercial use | Unrestricted | Non-commercial only |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | 25/100 | 50/100 |
| Speed | 294 tok/s | 46 tok/s |
| Blended price | $0.10/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.