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AnthropicClaude Haiku 4.5VSOpenAIGPT-5.4

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend GPT-5.4 for complex complex codebases, multi-file repositories, and architectural planning, or the 2.8x cheaper Claude Haiku 4.5 if your budget requires optimizing costs for very high-volume pipelines. While GPT-5.4 offers a clear reasoning advantage, it carries a moderate price premium. Choose GPT-5.4 for architectural codebase planning, or Claude Haiku 4.5 to save on API costs for simple scripts.
WHY?
Benchmark Calculations & Evidence:
  • Coding Evaluation: Claude Haiku 4.5 was evaluated on SWE-bench Verified (scoring 73.3%), while GPT-5.4 was evaluated on SWE-bench Pro (scoring 57.7%).
  • Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 scored 92.8%, while Claude Haiku 4.5 scored 73%.
  • Cost Efficiency: Claude Haiku 4.5 pricing ($1/M input, $5/M output) is 2.8x cheaper than GPT-5.4 ($2.5/M input, $15/M output).
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    Model Specs

    Claude Haiku 4.5

    Benchmarks & Scores

    Coding (swe-bench-verified)
    73.3%

    multi-file code and clearly defined tasks

    Reasoning (gpqa-diamond)
    73%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)2.8x cheaper
    $2.00Input: $1.00 | Output: $5.00
    Context Window
    200k tokens
    Model Specs

    GPT-5.4

    Benchmarks & Scores

    Coding (swe-bench-pro)
    57.7%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+19.8%)
    92.8%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $5.63Input: $2.50 | Output: $15.00
    Context WindowLarger
    1.05M tokens

    Frequently Asked Questions about Claude Haiku 4.5 vs GPT-5.4

    Claude Haiku 4.5 is cheaper than GPT-5.4. Claude Haiku 4.5 has a blended cost of $2.00/1M tokens, which is about 2.8x cheaper than GPT-5.4 at $5.63/1M tokens.

    For coding tasks, Claude Haiku 4.5 scores 73.3% on swe-bench-verified (multi-file code and clearly defined tasks), while GPT-5.4 scores 57.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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