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    Grok 4 · grok-4

    xAI · 9 Jul 2025

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    benchmarks

    Grok 4 is xAI’s reasoning-focused model for demanding mathematical, scientific and programming tasks, with a documented 256,000-token context window. Newer Grok 4.1 models have shipped, but this profile covers the original Grok 4 rather than Grok 4 Heavy or later generations.

    context: 256Ktext$3.00 / $15 per 1M tokens (in / out)

    Benchmark results

    Every figure links to where it was published. Compare like with like — harnesses and prompt setups differ between vendors.

    BenchmarkScoreSource
    GPQA DiamondPhD-level science questions87.5%Jul 2025View
    Humanity's Last ExamFrontier expert questions across fields25.4%Jul 2025View

    Weighted mean of 2 verified benchmark results: GPQA Diamond 87.5%, Humanity's Last Exam 25.4%.

    Capabilities

    • Reasoning across advanced scientific and expert-level questions.
    • Solving challenging mathematical problems.
    • Generating and editing code across multiple programming languages.
    • Processing long documents and other inputs within a 256,000-token context window.
    • Calling developer-provided tools through the API.

    What improved

    • Expands the documented context window from Grok 3’s 131,072 tokens to 256,000 tokens.
    • Reports higher GPQA Diamond performance than Grok 3.
    • Achieves higher Aider Polyglot performance than Grok 3 Beta.

    Known flaws & limitations

    • Operates as a reasoning model without a separate non-reasoning mode.
    • Does not support the reasoning_effort parameter for adjusting reasoning intensity.
    • Still makes substantial errors on difficult expert-level questions; benchmark performance does not establish factual reliability.

    Risks, safety & security issues

    • Not yet confirmed by public reporting.

    Good fit for

    • Scientific and mathematical problem-solving with independently checked results.
    • Programming assistance and multilingual code editing backed by automated tests.
    • Analysis of long technical documents.
    • Tool-assisted research workflows with human oversight.

    Poor fit for

    • High-stakes decisions requiring guaranteed factual accuracy or unsupervised professional judgment.
    • Applications requiring an explicit non-reasoning mode.
    • Workflows that depend on configuring the reasoning_effort parameter.

    Profile last reviewed 10/27/2026 and re-checked automatically every few hours against the vendor's published documentation, papers and public leaderboards. Scores come from the cited benchmark results above — confirm limits and pricing against the provider's own documentation before building on them.