Side-by-side comparison of GPT-OSS 120b (OpenAI · USA) and Laguna XS.2 (Poolside · USA) for self-hosted deployment of the open-weight model. GPT-OSS 120b is rated EU-ready; Laguna XS.2 is conditional. They part ways on commercial use: GPT-OSS 120b is "Yes", Laguna XS.2 is "Unrestricted".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready OpenAI's first major open-weights release. Apache 2.0, MoE with 5.1B active over 117B total, MXFP4 quantised to fit a single 80GB GPU. Historic shift for a vendor that built its brand on closed weights. | 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. |
| Last reviewed | 2026-04-15 | 2026-05-03 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | USA | USA |
| Performance & pricing? | ||
| Quality index | 33/100 | — |
| Speed | 212 tok/s | — |
| Blended price | $0.26/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.