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Model comparison

Claude Haiku 3.5 vs Kimi K2

Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.

Provider
Anthropic / Moonshot AI
global / china
Context
200K / 200K
text+image->text / text->text
Input price
$0.80 / $0.35
per 1M tokens
Output price
$4.00 / $1.60
per 1M tokens
Left model
Claude Haiku 3.5
Anthropic
FamilyClaude
Modalitytext+image->text

轻量化企业助手和中高频 API 调用常用型号。

Right model
Kimi K2
Moonshot AI
FamilyKimi
Modalitytext->text

长上下文办公、搜索和知识场景里很常见。

Comparison summary

How to choose first

This is a cross-provider comparison. Start with the job boundary, then verify what your key can actually see.

On the listed price snapshot, Kimi K2 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

When context is similar, compare output quality, API stability, limits, and actually callable models first.

Decision boundary

Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.

  • Claude Haiku 3.5 is worth checking first when the Claude family, 200K context, and text+image->text capability match the job.
  • Kimi K2 is worth checking first when the Kimi family, 200K context, and text->text capability match the job.

Key checking route

If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.

  • Anthropic: Claude Haiku 3.5, Claude, text+image->text
  • Moonshot AI: Kimi K2, Kimi, text->text

Commercial fit

Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.

  • Claude Haiku 3.5: 轻量化企业助手和中高频 API 调用常用型号。
  • Kimi K2: 长上下文办公、搜索和知识场景里很常见。