Side-by-side comparison of Kimi K2 Instruct (Moonshot AI · China) and Laguna XS.2 (Poolside · USA) for self-hosted deployment of the open-weight model. Kimi K2 Instruct is rated conditional; Laguna XS.2 is conditional. They part ways on licence: Kimi K2 Instruct is "Modified MIT", Laguna XS.2 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 1T-parameter MoE (32B active) tuned for agentic and tool-use workflows. Modified MIT permits commercial use. Same Chinese-origin alignment and supply-chain considerations as DeepSeek and 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 | 2026-04-16 | 2026-05-03 |
| Open-weight | ||
| Licence | Modified MIT | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 26/100 | — |
| Speed | 34 tok/s | — |
| Blended price | $1.04/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.