Claude Haiku 4.5 vs Kimi K2
Fast and efficient with near-frontier intelligence.
MoonshotAI's large MoE model — 1T total parameters, 32B active.
No captured outputs for these models yet.
Frequently Asked Questions: Claude Haiku 4.5 vs Kimi K2▼
Which is better, Claude Haiku 4.5 or Kimi K2?
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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.
Which is cheaper, Claude Haiku 4.5 or Kimi K2?
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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.
Which has a larger context window, Claude Haiku 4.5 or Kimi K2?
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Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs Kimi K2 at 131K tokens.
Do both Claude Haiku 4.5 and Kimi K2 support vision?
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Claude Haiku 4.5 supports vision/image input, but Kimi K2 does not.
What are the key differences between Claude Haiku 4.5 and Kimi K2?
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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.
Which model should I choose for my use case?
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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.