Side-by-side comparison of Kimi K2 Instruct (Moonshot AI · China) and Phi-4 (Microsoft · USA) for self-hosted deployment of the open-weight model. Kimi K2 Instruct is rated conditional; Phi-4 is EU-ready. They part ways on licence: Kimi K2 Instruct is "Modified MIT", Phi-4 is "MIT".
| 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. | EU-ready MIT-licensed 14B from Microsoft Research. Heavy use of synthetic training data is disclosed; English-primary (thin multilingual coverage). Strongest small-model option for permissive-licence EU deployments. |
| Last reviewed | 2026-04-16 | 2026-04-15 |
| Open-weight | ||
| Licence | Modified MIT | MIT |
| Commercial use | Yes | Yes |
| Training data | Undisclosed | Partial |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 26/100 | 10/100 |
| Speed | 34 tok/s | 29 tok/s |
| Blended price | $1.04/M | $0.22/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.