AI Progress Tracker

    Gemini 3.1 Pro · Gemini 3.1 Pro

    Google · 19 Feb 2026

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    benchmarks

    Gemini 3.1 Pro is identified as a member of Google DeepMind's Gemini model family. Its current release status, specifications, pricing and model-specific evaluation results: Not yet confirmed by public reporting.

    context: 1Maudiofileimagetextvideo$2.00 / $12 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 questions94.4%6 Aug 2026View
    OTIS Mock AIME 2024-25Competition mathematics95.6%6 Aug 2026View
    Terminal-BenchLong-horizon command-line agent tasks80.2%19 Feb 2026View
    FrontierMath36.9%19 Feb 2026View
    SimpleQA VerifiedShort factual questions (hallucination resistance)73.5%10 Aug 2026View
    LMArena TextHuman preference Elo from blind chat votes (not a percentage)1480 Elo22 Oct 2026View
    LMArena WebDevHuman preference Elo for building web apps (not a percentage)1447 Elo23 Oct 2026View

    Weighted mean of 5 verified benchmark results: GPQA Diamond 94.4%, OTIS Mock AIME 2024-25 95.6%, Terminal-Bench 80.2%, FrontierMath 36.9%, SimpleQA Verified 73.5%.

    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 Gemini 3.1 Pro

    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.