Side-by-side comparison of Laguna XS.2 (Poolside · USA) and LFM2.5-8B-A1B (Liquid AI) for self-hosted deployment of the open-weight model. Laguna XS.2 is rated conditional; LFM2.5-8B-A1B is conditional. They part ways on licence: Laguna XS.2 is "Apache 2.0", LFM2.5-8B-A1B is "LFM Open License 1.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published model card, Laguna XS.2 is an Apache 2.0 33B / 3B-active MoE positioned for local agentic coding, with a 131k-token context and FP8 KV cache aimed at single-machine inference. Permissive license and self-hostable weights make EU-side deployment straightforward; the limits are vendor jurisdiction (San Francisco–headquartered, no published EU DPA for hosted endpoints) and a model card that does not describe the training corpus. | 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 | 2026-05-03 | 2026-05-30 |
| Open-weight | ||
| Licence | Apache 2.0 | LFM Open License 1.0 |
| Commercial use | Unrestricted | Free under $10M revenue |
| Training data | Undisclosed | Undisclosed |
| Origin | USA | USA (Boston) |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.