Side-by-side comparison of Llama 3.1 8B Instruct (Meta Platforms · United States) and Qwen 3.5 (Alibaba · China) for self-hosted deployment of the open-weight model. Llama 3.1 8B Instruct is rated conditional; Qwen 3.5 is conditional. They part ways on licence: Llama 3.1 8B Instruct is "Llama 3.1 Community Licence", Qwen 3.5 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | Conditional Hybrid Gated-DeltaNet + MoE flagship (397B total, 17B active) under Apache 2.0. Native vision, 201 languages, 262K context (1M with YaRN). Licence is clean; Chinese-origin alignment and supply-chain considerations persist. |
| Last reviewed | 2026-04-17 | 2026-04-15 |
| Open-weight | ||
| Licence | Llama 3.1 Community Licence | Apache 2.0 |
| Commercial use | Restricted (MAU cap + AUP) | Yes |
| Training data | Token count only | Undisclosed |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 12/100 | 40/100 |
| Speed | 160 tok/s | 53 tok/s |
| Blended price | $0.10/M | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.