Model comparison

Claude Haiku 4.5 vs GLM-5.2

Compare Claude Haiku 4.5 vs GLM-5.2 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

Claude Haiku 4.5

anthropic · claude-haiku-4-5

Input
$1
Output
$5
Context
200K

GLM-5.2

zai · glm-5.2

Input
$1.4
Output
$4.4
Context
1M

Quick take

Claude Haiku 4.5 has the lower input price at $1 per 1M input tokens. Claude Haiku 4.5 is cheaper for the example blended workload below. GLM-5.2 has the larger context window at 1M tokens.

Choose Claude Haiku 4.5 if...

  • Claude Haiku 4.5 is the better default for cost-sensitive traffic and repeated high-volume calls.
  • Claude Haiku 4.5 is required if images, screenshots, or visual documents are part of the workflow.

Choose GLM-5.2 if...

  • GLM-5.2 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • GLM-5.2 gives more room for long generated answers, reports, or code output.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload Claude Haiku 4.5 GLM-5.2 Cheaper
1M input + 200K output $2.00 $2.28 Claude Haiku 4.5
10M input + 2M output $20.00 $22.80 Claude Haiku 4.5
100M input + 20M output $200.00 $228.00 Claude Haiku 4.5

Context, output, and capability fit

GLM-5.2 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

Claude Haiku 4.5 max output
64K
GLM-5.2 max output
128K
Claude Haiku 4.5 features
prompt caching, function calling, vision
GLM-5.2 features
prompt caching, function calling

Risk notes for Claude Haiku 4.5

  • No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.

Risk notes for GLM-5.2

  • No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.

Routing tags

fastbudgetagentsenterprise-ragcache-friendlyragfrontierreasoningcodinglong-contextopen-weightlocal-open

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