Side-by-side comparison of LFM2.5-8B-A1B (Liquid AI) and Mixtral 8x22B Instruct (Mistral AI · France) for self-hosted deployment of the open-weight model. LFM2.5-8B-A1B is rated conditional; Mixtral 8x22B Instruct is EU-ready. They part ways on licence: LFM2.5-8B-A1B is "LFM Open License 1.0", Mixtral 8x22B Instruct is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | EU-ready A rare combination of permissive licensing, EU provenance, and credible multilingual coverage — Apache 2.0 leaves commercial deployment essentially unconstrained, and Paris-based Mistral simplifies the GDPR controller story compared with US-hosted peers. The catch is the training corpus: Mistral has never published a meaningful dataset breakdown, so AI Act transparency obligations on training-data summaries land squarely on the deployer. |
| Last reviewed | 2026-05-30 | 2026-05-19 |
| Open-weight | ||
| Licence | LFM Open License 1.0 | Apache 2.0 |
| Commercial use | Free under $10M revenue | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | USA (Boston) | EU (France) |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.