Side-by-side comparison of GPT-OSS 20B (OpenAI · USA) and MiniMax M2 (MiniMax · China) for self-hosted deployment of the open-weight model. GPT-OSS 20B is rated conditional; MiniMax M2 is conditional. They part ways on licence: GPT-OSS 20B is "Apache 2.0", MiniMax M2 is "Modified MIT".
| 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. | 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 | 2026-04-17 | 2026-04-16 |
| Open-weight | ||
| Licence | Apache 2.0 | Modified MIT |
| Commercial use | Unrestricted | Yes |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 25/100 | 36/100 |
| Speed | 294 tok/s | 72 tok/s |
| Blended price | $0.10/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.