Gemini 4 Argon vs GPT-6 Astra in finance

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

Shared benchmarks
3
Gemini 4 Argon only
3
GPT-6 Astra only
0

Shared benchmarks, side by side

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

  • Gemini 4 Argon
  • GPT-6 Astra

  • APEX-Accounting Mean Score (% criteria passed), higher is better

    Gemini 4 Argon:71.5 (better)
    GPT-6 Astra:64.7

  • Ramp Accounting Bench mean reward % (criteria, mean of 3 attempts), higher is better

    Gemini 4 Argon:61.1 (better)
    GPT-6 Astra:48.7

  • Excel Modeling Benchmark (EMB) accuracy % (v1.1), higher is better

    Gemini 4 Argon:74.8 (better)
    GPT-6 Astra:72.7
Benchmark
Gemini 4 Argon
GPT-6 Astra

6 benchmarks, 3 scored for both. Bold marks the better score where both have one.

APEX-AccountingMean Score (% criteria passed), higher is better
71.5
Mercor APEX-Accounting leaderboard (Official board, 1 Nov 2026)
64.7
Mercor APEX-Accounting leaderboard (Official board, 1 Nov 2026)
Ramp Accounting Benchmean reward % (criteria, mean of 3 attempts), higher is better
61.1
Ramp Labs Accounting Bench (Official board, 14 Oct 2026)
48.7
Ramp Labs Accounting Bench (Official board, 5 Sept 2026)
Excel Modeling Benchmark (EMB)accuracy % (v1.1), higher is better
74.8
Vals.ai leaderboard (Official board, 29 Oct 2026)
72.7
Vals.ai leaderboard (Official board, 29 Oct 2026)
Finance Agent BenchmarkPartial Credit accuracy % (v2.1), higher is better
67.7
Vals.ai leaderboard (Official board, 29 Oct 2026)
Not scored
Vals Finance Indexindex accuracy %, higher is better
64.9
Vals.ai leaderboard (Official board, 29 Oct 2026)
Not scored
Tax Agent Benchaccuracy % (all-pass x citation factor), higher is better
44.6
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.