Side-by-side comparison of LFM2.5-8B-A1B (Liquid AI) and Nemotron-3 Nano Omni 30B-A3B Reasoning (NVIDIA · USA) for self-hosted deployment of the open-weight model. LFM2.5-8B-A1B is rated conditional; Nemotron-3 Nano Omni 30B-A3B Reasoning is conditional. They part ways on licence: LFM2.5-8B-A1B is "LFM Open License 1.0", Nemotron-3 Nano Omni 30B-A3B Reasoning is "NVIDIA Open Model".
| 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. | Conditional Per the NVIDIA Open Model Agreement, Nemotron-3 Nano Omni is commercially usable with a NOTICE-file attribution requirement and U.S. export-compliance obligations. Multimodal MoE (31B total / 3B active) accepting video, audio, image and text input, with reasoning-style chain-of-thought output. Training data is unusually well-documented (1,395 datasets, modality breakdown, CSAM scanning) — useful for AI Act Article 53 mapping. Vendor jurisdiction remains the US. |
| Last reviewed | 2026-05-30 | 2026-05-03 |
| Open-weight | ||
| Licence | LFM Open License 1.0 | NVIDIA Open Model |
| Commercial use | Free under $10M revenue | Permitted (with attribution) |
| Training data | Undisclosed | Disclosed |
| Origin | USA (Boston) | USA |
| Performance & pricing? | ||
| Quality index | — | 21/100 |
| Speed | — | 344 tok/s |
| Blended price | — | $0.13/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.