AI Progress Tracker

    GLM 5.3 · glm-5.3

    Z.ai · 14 Aug 2026

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    benchmarks

    GLM 5.3 is identified as a model from Z.ai (Zhipu AI). Family-level reporting describes GLM 5.2’s defensive use during an attack on Hugging Face, not an established vulnerability in GLM 5.3.

    context: 1.3Mtext$0.08 / $1.40 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 questions90.9%24 Aug 2026View
    OTIS Mock AIME 2024-25Competition mathematics91.1%24 Aug 2026View
    SimpleQA VerifiedShort factual questions (hallucination resistance)41%28 Aug 2026View
    LMArena TextHuman preference Elo from blind chat votes (not a percentage)1474 Elo22 Oct 2026View
    LMArena WebDevHuman preference Elo for building web apps (not a percentage)1623 Elo23 Oct 2026View

    Weighted mean of 3 verified benchmark results: GPQA Diamond 90.9%, OTIS Mock AIME 2024-25 91.1%, SimpleQA Verified 41%.

    Capabilities

    • Not yet confirmed by public reporting.

    What improved

    • Not yet confirmed by public reporting.

    Known flaws & limitations

    • Not yet confirmed by public reporting.

    Risks, safety & security issues

    • Not yet confirmed by public reporting.

    Good fit for

    • Not yet confirmed by public reporting.

    Poor fit for

    • Not yet confirmed by public reporting.
    Security & risk dashboardLatest vulnerabilities, advisories and real-world incidents for GLM 5.3

    References

    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.