Side-by-side comparison of Kimi K2 Instruct (Moonshot AI · China) and Qwen 3.5 (Alibaba · China) for self-hosted deployment of the open-weight model. Kimi K2 Instruct is rated conditional; Qwen 3.5 is conditional. They part ways on licence: Kimi K2 Instruct is "Modified MIT", Qwen 3.5 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 Hybrid Gated-DeltaNet + MoE flagship (397B total, 17B active) under Apache 2.0. Native vision, 201 languages, 262K context (1M with YaRN). Licence is clean; Chinese-origin alignment and supply-chain considerations persist. |
| Last reviewed | 2026-04-16 | 2026-04-15 |
| Open-weight | ||
| Licence | Modified MIT | Apache 2.0 |
| Commercial use | Yes | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 26/100 | 40/100 |
| Speed | 34 tok/s | 53 tok/s |
| Blended price | $1.04/M | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.