Gemini 4 Carbon vs Numa 1 in finance

Every finance benchmark where both have a score (Google and Moneda). Data refreshed 2 Nov 2026.

Shared benchmarks
1
Gemini 4 Carbon only
4
Numa 1 only
6

Shared benchmarks, side by side

Each benchmark is drawn on its own scale. Bars are not comparable across rows.

  • Gemini 4 Carbon
  • Numa 1
    Benchmark
    Gemini 4 Carbon
    Numa 1

    13 benchmarks, 0 scored for both. Bold marks the better score where both have one.

    FinanceQAaccuracy (total, 0-1), higher is better
    Not scored
    0.355
    Moneda run, 2026-11-01 (Run by Moneda, 1 Nov 2026)
    APEX-AccountingMean Score (% criteria passed), higher is better
    70.7
    Mercor APEX-Accounting leaderboard (Official board, 1 Nov 2026)
    Not scored
    FinanceBench% correct, no filing given (150-question sample), higher is better
    Not scored
    67
    Moneda run, 2026-11-02 (Run by Moneda, 2 Nov 2026)
    FinSearchCompGlobal subset average accuracy %, higher is better
    Not scored
    59.4
    Moneda run, 2026-11-01 (Run by Moneda, 1 Nov 2026)
    FinSearchCompGreater China subset average accuracy %, higher is better
    Not scored
    57.1
    Moneda run, 2026-11-01 (Run by Moneda, 1 Nov 2026)
    Moneda CiteBenchFactual share of linked claims %, higher is better
    Not scored
    63.3
    Moneda run, 2026-11-02 (Run by Moneda, 2 Nov 2026)
    Moneda FilingsBench% correct (private split), higher is better
    Not scored
    91.6
    Moneda run, 2026-11-02 (Run by Moneda, 2 Nov 2026)
    Moneda PortfolioBenchPortfolio tasks, % correct, higher is better
    Not scored
    96
    Moneda run, 2026-11-01 (Run by Moneda, 1 Nov 2026)
    Excel Modeling Benchmark (EMB)accuracy % (v1.1), higher is better
    76.5
    Vals.ai leaderboard (Official board, 29 Oct 2026)
    Not scored
    Finance Agent BenchmarkPartial credit % on the 27 public questions (run by Moneda; not comparable, unranked), higher is better
    Not scored
    80.2
    Moneda run, 2026-10-09 (Run by Moneda, 9 Oct 2026)
    Finance Agent BenchmarkPartial Credit accuracy % (v2.1), higher is better
    67.2
    Vals.ai leaderboard (Official board, 29 Oct 2026)
    Not scored
    Vals Finance Indexindex accuracy %, higher is better
    66.3
    Vals.ai leaderboard (Official board, 29 Oct 2026)
    Not scored
    Tax Agent Benchaccuracy % (all-pass x citation factor), higher is better
    48.9
    Vals.ai leaderboard (Official board, 29 Oct 2026)
    Not scored

    Scores from different benchmarks use different scales and are not added up. Settings can differ between sources; see each leaderboard for details.