Model comparison

GPT-5.5 vs Claude Haiku 4.5

Compare GPT-5.5 vs Claude Haiku 4.5 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

GPT-5.5

openai · gpt-5.5

Input
$5
Output
$30
Context
1.1M

Claude Haiku 4.5

anthropic · claude-haiku-4-5

Input
$1
Output
$5
Context
200K

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. GPT-5.5 has the larger context window at 1.1M tokens.

Choose GPT-5.5 if...

  • GPT-5.5 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • GPT-5.5 gives more room for long generated answers, reports, or code output.

Choose Claude Haiku 4.5 if...

  • Claude Haiku 4.5 is the better default for cost-sensitive traffic and repeated high-volume calls.

Example workload cost

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

Workload GPT-5.5 Claude Haiku 4.5 Cheaper
1M input + 200K output $11.00 $2.00 Claude Haiku 4.5
10M input + 2M output $110.00 $20.00 Claude Haiku 4.5
100M input + 20M output $1,100.00 $200.00 Claude Haiku 4.5

Context, output, and capability fit

GPT-5.5 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

GPT-5.5 max output
128K
Claude Haiku 4.5 max output
64K
GPT-5.5 features
prompt caching, function calling, vision
Claude Haiku 4.5 features
prompt caching, function calling, vision

Risk notes for GPT-5.5

  • High output price: cap max tokens for verbose generation workloads.

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.

Routing tags

frontierreasoningcodingagentslong-contextmultimodalcache-friendlyragfastbudgetenterprise-rag

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