Side-by-side comparison of Laguna XS.2 (Poolside · USA) and Mistral Nemo (Mistral AI · France) for self-hosted deployment of the open-weight model. Laguna XS.2 is rated conditional; Mistral Nemo is EU-ready. They part ways on training data: Laguna XS.2 is "Undisclosed", Mistral Nemo is "Undisclosed corpus".
| 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. | EU-ready A 12B model from Paris-based Mistral AI, co-trained with NVIDIA and shipped under Apache 2.0 with a 128k context window and strong coverage of major EU languages. EU-headquartered vendor plus a fully permissive licence make this one of the cleanest open-weight choices for organisations prioritising AI Act and GDPR alignment, with the main caveat being the usual lack of detail on the training corpus. |
| Last reviewed | 2026-05-03 | 2026-05-19 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Undisclosed corpus |
| Origin | USA | EU (France) |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.