MoonshotAI: Kimi K2.6 vs Microsoft: Phi 4
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- MoonshotAI: Kimi K2.6 has a 262K-token context window — 16.0× larger than Microsoft: Phi 4's 16K.
- Microsoft: Phi 4 is 91% cheaper per 1K input tokens than MoonshotAI: Kimi K2.6 ($0.0001 vs $0.0007).
- MoonshotAI: Kimi K2.6 is built by OpenRouter; Microsoft: Phi 4 is built by Microsoft.
- MoonshotAI: Kimi K2.6 supports vision (image inputs); the other does not.
Specifications
| MoonshotAI: Kimi K2.6 | Microsoft: Phi 4 | |
|---|---|---|
| Provider | OpenRouter | Microsoft |
| Context window | 262K | 16K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0007 | $0.0001 |
| Output price / 1K tokens | $0.0035 | $0.0001 |
| Vision support | Yes | No |
| Function calling | No | No |
| License | Open Weights | Proprietary |
About MoonshotAI: Kimi K2.6
CN·Open weightsKimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
View MoonshotAI: Kimi K2.6 reliability and benchmark history →About Microsoft: Phi 4
US·Closed[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
View Microsoft: Phi 4 reliability and benchmark history →Try them yourself
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