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    Side-by-Side Comparison

    gpt-5.4-pro vs Claude Opus 4.5

    A detailed comparison of pricing, specifications, and benchmark performance.

    OpenAIgpt-5.4-proOpenAI
    vs
    AnthropicClaude Opus 4.5Anthropic
    Metric
    gpt-5.4-pro
    Claude Opus 4.5
    Provider
    Provider
    OpenAI
    Anthropic
    License
    Proprietary
    Proprietary
    Release Date
    N/A
    2025-11-24
    Pricing (per 1M tokens)
    Input Price+500%
    $30.00
    $5.00
    Output Price+620%
    $180.00
    $25.00
    Blended (1M + 1M)
    $210.00
    $30.00
    Model Details
    Context Window
    N/A
    200K
    Max Output Tokens
    N/A
    64K
    Knowledge Cutoff
    N/A
    2025-05-31
    Throughput
    N/A
    N/A
    Benchmarks
    GPQA Diamond
    90.5%
    87%
    Humanity's Last Exam (With Tools)
    29.8%
    Humanity's Last Exam (No Tools)
    40.8%
    ARC-AGI-2 Verified
    11.7%
    ARC-AGI-1 Verified
    76.7%
    ARC-AGI 2
    378
    SWE-bench Pro (Public)
    91.1%
    SWE Bench
    80.9%
    Terminal-Bench 2.0
    64.9%
    OSWorld Verified
    65%
    MCP Atlas
    87.1%
    tau2-bench (Telecom)
    74.6%
    MMMU-Pro (With Tools)
    96.3%
    MMMU-Pro (No Tools)
    90.6%
    MMMLU
    90.8%
    GDPval
    35.4%
    FinanceAgent v1.1
    84.2%
    Investment Banking Modeling (Internal)
    89.8%
    OfficeQA
    60.8%
    Frontier Science Research
    17.4%
    FrontierMath (Tiers 1-3)
    10.8%
    OpenAI MRCR v2 8-needle (4K-8K)
    75.8%
    OpenAI MRCR v2 8-needle (32K-128K)
    58.3%
    OpenAI MRCR v2 8-needle (128K-512K)
    45.9%
    OpenAI MRCR v2 8-needle (256K-1M)
    42.1%
    OpenAI MRCR v2 8-needle (512K-1M)
    39%
    Graphwalks BFS (0K-128K)
    100%
    Graphwalks BFS (256K-1M)
    100%
    Graphwalks Parents (0K-128K)
    100%
    Graphwalks Parents (256K-1M)
    98.8%
    Alder Polyglot
    89.4%
    MMLU
    90.8%
    MMMU
    80.7%
    OmniDocBench NED
    0.035

    Verdict

    The Bottom Line

    Claude Opus 4.5 offers significantly lower pricing, while gpt-5.4-pro leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

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