Side-by-side comparison of Hy3-preview (Tencent) and LFM2.5-8B-A1B (Liquid AI) for self-hosted deployment of the open-weight model. Hy3-preview is rated blocked; LFM2.5-8B-A1B is conditional. They part ways on licence: Hy3-preview is "Tencent Hy Community", LFM2.5-8B-A1B is "LFM Open License 1.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Blocked Per the Tencent Hy Community License Agreement (Sections 1(l) and 5(c)), the licence's defined Territory excludes the European Union, the United Kingdom and South Korea, and licensees are expressly prohibited from using, distributing or displaying the model or its outputs outside that Territory. Under those terms the weights are not deployable for EU users or workloads, regardless of architecture quality. | Conditional Per the published LFM Open License v1.0, Liquid AI's terms are Apache-2.0-derived but cap free commercial use at USD 10M annual company revenue — above that threshold deployers must negotiate a paid licence with [email protected]. The model itself is a strong 8.3B / 1.5B-active MoE built for CPU and edge inference, but the 38-trillion-token training corpus is undisclosed and Liquid AI is a US-based MIT spinoff, so EU regulated buyers should run their own DPIA and document the data-transfer story alongside any commercial-tier negotiation. |
| Last reviewed | 2026-04-28 | 2026-05-30 |
| Open-weight | ||
| Licence | Tencent Hy Community | LFM Open License 1.0 |
| Commercial use | EU territory excluded | Free under $10M revenue |
| Training data | Undisclosed | Undisclosed |
| Origin | China | USA (Boston) |
| Performance & pricing? | ||
| Quality index | 42/100 | — |
| Speed | 85 tok/s | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.