Fast and efficient with near-frontier intelligence.
MoonshotAI's large MoE model — 1T total parameters, 32B active.
No shared demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Kimi K2 scores higher (78.2 vs 75.3). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Kimi K2 has a lower blended cost. Claude Haiku 4.5: $1.00 input / $5.00 output. Kimi K2: $0.57 input / $2.30 output.
Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs Kimi K2 at 131K tokens.
Claude Haiku 4.5 supports vision/image input, but Kimi K2 does not.
Key differences: only Claude Haiku 4.5 supports vision input; only Claude Haiku 4.5 offers extended reasoning mode. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Claude Haiku 4.5 and Kimi K2 for free on idapt.app to see which performs better for your specific needs.