Side-by-side comparison of DeepSeek V3 (DeepSeek · China) and Laguna XS.2 (Poolside · USA) for self-hosted deployment of the open-weight model. DeepSeek V3 is rated conditional; Laguna XS.2 is conditional. They part ways on licence: DeepSeek V3 is "MIT", Laguna XS.2 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional MIT licence is maximally permissive. Weights are legally clean to self-host. Same Chinese-origin considerations as Qwen. | 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 | MIT | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 22/100 | — |
| Speed | — | — |
| Blended price | $1.25/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.