Side-by-side comparison of DeepSeek R1 (DeepSeek · China) and GPT-OSS 20B (OpenAI · USA) for self-hosted deployment of the open-weight model. DeepSeek R1 is rated conditional; GPT-OSS 20B is conditional. They part ways on licence: DeepSeek R1 is "MIT", GPT-OSS 20B is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Frontier reasoning model at o1-class performance. MIT licence makes weights legally clean. Same Chinese-origin alignment/supply-chain considerations as DeepSeek V3. Distilled Qwen/Llama versions inherit their base licence. | 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. |
| Last reviewed | 2026-04-15 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Domain-level summary |
| Origin | China | United States |
| Performance & pricing? | ||
| Quality index | 27/100 | 25/100 |
| Speed | — | 294 tok/s |
| Blended price | $2.36/M | $0.10/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.