Side-by-side comparison of GPT-OSS 20B (OpenAI · USA) and Mistral Nemo (Mistral AI · France) for self-hosted deployment of the open-weight model. GPT-OSS 20B is rated conditional; Mistral Nemo is EU-ready. They part ways on training data: GPT-OSS 20B is "Domain-level summary", Mistral Nemo is "Undisclosed corpus".
| 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. | EU-ready A 12B model from Paris-based Mistral AI, co-trained with NVIDIA and shipped under Apache 2.0 with a 128k context window and strong coverage of major EU languages. EU-headquartered vendor plus a fully permissive licence make this one of the cleanest open-weight choices for organisations prioritising AI Act and GDPR alignment, with the main caveat being the usual lack of detail on the training corpus. |
| Last reviewed | 2026-04-17 | 2026-05-19 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Domain-level summary | Undisclosed corpus |
| Origin | United States | EU (France) |
| Performance & pricing? | ||
| Quality index | 25/100 | — |
| Speed | 294 tok/s | — |
| Blended price | $0.10/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.