Side-by-side comparison of LFM2.5-8B-A1B (Liquid AI) and Mistral Medium 3.5 (Mistral AI · France) for self-hosted deployment of the open-weight model. LFM2.5-8B-A1B is rated conditional; Mistral Medium 3.5 is EU-ready. They part ways on licence: LFM2.5-8B-A1B is "LFM Open License 1.0", Mistral Medium 3.5 is "Modified MIT".
| 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 Per Mistral's published license, Mistral Medium 3.5 ships under a Modified MIT License: vanilla-MIT terms for independent developers, startups and most enterprises, with a revenue-threshold carve-out that routes large companies back to a paid commercial agreement. Paris-headquartered vendor with EU jurisdiction end to end and a 256k-token context. Training-data composition is not published in the model card — usual caveat for high-assurance public-sector deployments. |
| Last reviewed | 2026-05-30 | 2026-05-03 |
| Open-weight | ||
| Licence | LFM Open License 1.0 | Modified MIT |
| Commercial use | Free under $10M revenue | Permitted (revenue cap) |
| Training data | Undisclosed | Undisclosed |
| Origin | USA (Boston) | EU (France) |
| Performance & pricing? | ||
| Quality index | — | 39/100 |
| Speed | — | 162 tok/s |
| Blended price | — | $3.00/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.