Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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Google: veo-3

1 benchmarks
CompanyGoogle
Country of originUSA

Leaderboard position

#671
Overall rank (of 1121 models)
732
Elo rating
1
Benchmarks
Top 59.9%
Percentile
In Google (of 72 models)
Above: OpenBMB: minicpm-v-4.6 #670 Below: Yandex: gpt-5-pro #672

Benchmark highlights

Nearest competitor from another company

The model from another company with the most similar benchmark scores.

appeared as nearest in 1 of 1 benchmarks

Benchmarks

Predicted scores

Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.

Benchmark Predicted Confidence Based on
MATH-500 ~84.26 50% —
AIME 2025 ~62.09 50% —
AIME 2026 ~71.13 50% —
HMMT Feb 2026 ~62.63 50% —
GPQA Diamond ~55.39 50% —
MMLU-Pro ~58.22 50% —
Humanity's Last Exam (no tools) ~9.46 50% —
IFEval ~80.6 50% —
IFBench ~51.31 50% —
HumanEval ~70.15 50% —
MBPP ~72.38 50% —
Terminal-Bench v2.1 ~17.26 50% —
MMLU ~64.52 50% —
SWE-bench Verified ~35.35 50% —
SWE-bench Pro ~14.55 50% —
SciCode ~25.01 50% —
AA-LCR ~40.71 50% —
Artificial Analysis Intelligence Index v5.0.1 ~12 50% —
Humanity's Last Exam (with tools) ~12.94 50% —
GSM8K ~78.22 50% —
-(CoderPPL) ~-1.69 50% —
LiveCodeBench v6 ~53.13 50% —
MMMU-Pro ~50.65 50% —
MATH ~55.62 50% —
BBH ~62.61 50% —