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AnthropicClaude Opus 4.8VSOpenAIGPT-5.4 mini

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

Our Take

We recommend Claude Opus 4.8 if you need peak intelligence for reasoning and coding tasks, or the 5.9x cheaper GPT-5.4 mini to optimize your budget for high-volume pipelines. While Claude Opus 4.8 holds a clear performance lead, it carries a heavy price premium. Choose Claude Opus 4.8 for complex logic, or GPT-5.4 mini for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Claude Opus 4.8 scored 69.2%, while GPT-5.4 mini scored 54.4%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Claude Opus 4.8 scored 93.6%, while GPT-5.4 mini scored 87.5%.
  • Cost Efficiency: GPT-5.4 mini pricing ($0.75/M input, $4.5/M output) is 5.9x cheaper than Claude Opus 4.8 ($5/M input, $25/M output).
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    Model Specs

    Claude Opus 4.8

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+14.8%)
    69.2%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+6.1%)
    93.6%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $10.00Input: $5.00 | Output: $25.00
    Context WindowLarger
    1.05M tokens
    Model Specs

    GPT-5.4 mini

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)
    54.4%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)
    87.5%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)5.9x cheaper
    $1.69Input: $0.75 | Output: $4.50
    Context Window
    400k tokens
    Read our data collection methodology

    Frequently Asked Questions about Claude Opus 4.8 vs GPT-5.4 mini

    GPT-5.4 mini is cheaper than Claude Opus 4.8. GPT-5.4 mini has a blended cost of $1.69/1M tokens, which is about 5.9x cheaper than Claude Opus 4.8 at $10.00/1M tokens.

    Claude Opus 4.8 is better for coding tasks on this benchmark. It scores 69.2% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5.4 mini which scores 54.4%.

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