Side-by-side comparison of GPT-OSS 20B (OpenAI · USA) and Llama 3.1 8B Instruct (Meta Platforms · United States) for self-hosted deployment of the open-weight model. GPT-OSS 20B is rated conditional; Llama 3.1 8B Instruct is conditional. They part ways on licence: GPT-OSS 20B is "Apache 2.0", Llama 3.1 8B Instruct is "Llama 3.1 Community Licence".
| 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 Per current documentation, Llama 3.1 8B Instruct is released under the Llama 3.1 Community Licence — a custom source-available licence rather than OSI open source. Commercial deployment is permitted below 700M MAU subject to the Acceptable Use Policy and attribution rules, but training-data opacity and US origin create EU AI Act transparency and data-transfer gaps that deployers should document. |
| Last reviewed | 2026-04-17 | 2026-04-17 |
| Open-weight | ||
| Licence | Apache 2.0 | Llama 3.1 Community Licence |
| Commercial use | Unrestricted | Restricted (MAU cap + AUP) |
| Training data | Domain-level summary | Token count only |
| Origin | United States | United States |
| Performance & pricing? | ||
| Quality index | 25/100 | 12/100 |
| Speed | 294 tok/s | 160 tok/s |
| Blended price | $0.10/M | $0.10/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.