Side-by-side comparison of GPT-OSS 120b (OpenAI · USA) and Llama 3.1 8B Instruct (Meta Platforms · United States) for self-hosted deployment of the open-weight model. GPT-OSS 120b is rated EU-ready; Llama 3.1 8B Instruct is conditional. They part ways on licence: GPT-OSS 120b is "Apache 2.0", Llama 3.1 8B Instruct is "Llama 3.1 Community Licence".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready OpenAI's first major open-weights release. Apache 2.0, MoE with 5.1B active over 117B total, MXFP4 quantised to fit a single 80GB GPU. Historic shift for a vendor that built its brand on closed weights. | 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 | 2026-04-15 | 2026-04-17 |
| Open-weight | ||
| Licence | Apache 2.0 | Llama 3.1 Community Licence |
| Commercial use | Yes | Restricted (MAU cap + AUP) |
| Training data | Undisclosed | Token count only |
| Origin | USA | United States |
| Performance & pricing? | ||
| Quality index | 33/100 | 12/100 |
| Speed | 212 tok/s | 160 tok/s |
| Blended price | $0.26/M | $0.10/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.