Side-by-side comparison of Laguna XS.2 (Poolside · USA) and Qwen3-8B (Alibaba Cloud (Qwen) · China) for self-hosted deployment of the open-weight model. Laguna XS.2 is rated conditional; Qwen3-8B is conditional. They part ways on training data: Laguna XS.2 is "Undisclosed", Qwen3-8B is "Token count only".
| 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. | Conditional Based on published licence terms, Qwen3-8B is released under standard Apache 2.0 with no field-of-use carve-outs, making self-hosted commercial deployment viable. Training-data disclosure is limited to a token count and Chinese origin creates EU AI Act Art. 53 transparency and data-transfer risks that deployers should document. |
| Last reviewed | 2026-05-03 | 2026-04-17 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Token count only |
| Origin | USA | China (Hangzhou) |
| Performance & pricing? | ||
| Quality index | — | 11/100 |
| Speed | — | 86 tok/s |
| Blended price | — | $0.31/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.