Side-by-side comparison of GPT-OSS 20B (OpenAI · USA) and LFM2.5-8B-A1B (Liquid AI) for self-hosted deployment of the open-weight model. GPT-OSS 20B is rated conditional; LFM2.5-8B-A1B is conditional. They part ways on licence: GPT-OSS 20B is "Apache 2.0", LFM2.5-8B-A1B is "LFM Open License 1.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, GPT-OSS 20B is released under Apache 2.0 with no field-of-use carve-outs in the licence itself; OpenAI publishes a separate non-binding 'gpt-oss usage policy' as guidance. Training-data disclosure is domain-level only, and US origin carries Schrems-II / CLOUD-Act exposure that enterprise deployers should document for EU workloads. | 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 | 2026-04-17 | 2026-05-30 |
| Open-weight | ||
| Licence | Apache 2.0 | LFM Open License 1.0 |
| Commercial use | Unrestricted | Free under $10M revenue |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | USA (Boston) |
| Performance & pricing? | ||
| Quality index | 25/100 | — |
| Speed | 294 tok/s | — |
| Blended price | $0.10/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.