Side-by-side comparison of Kimi-K2.6 (Moonshot AI · China) and Llama 3.1 8B Instruct (Meta Platforms · United States) for self-hosted deployment of the open-weight model. Kimi-K2.6 is rated conditional; Llama 3.1 8B Instruct is conditional. They part ways on licence: Kimi-K2.6 is "Modified MIT", Llama 3.1 8B Instruct is "Llama 3.1 Community Licence".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published LICENSE file, Kimi-K2.6 ships under a Modified MIT licence: identical to standard MIT for almost all deployers, with an additional UI-attribution requirement only for products exceeding 100M monthly active users or USD 20M monthly revenue. The genuine EU-readiness concerns are the China-based vendor and the absence of any training-data disclosure rather than the licence itself. | 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 | 2026-04-28 | 2026-04-17 |
| Open-weight | ||
| Licence | Modified MIT | Llama 3.1 Community Licence |
| Commercial use | Attribution at scale | Restricted (MAU cap + AUP) |
| Training data | Undisclosed | Token count only |
| Origin | China | United States |
| Performance & pricing? | ||
| Quality index | 54/100 | 12/100 |
| Speed | — | 160 tok/s |
| Blended price | $1.71/M | $0.10/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.