Benchmarks/agents/GDPval-AA

GDPval-AA

GDPval-AA is an evaluation of AI model performance on economically valuable knowledge work tasks across professional domains including finance, legal, and other sectors. Run independently by Artificial Analysis, it uses Elo scoring to rank models on real-world work task performance.

Progress Over Time

Interactive timeline showing model performance evolution on GDPval-AA

State-of-the-art frontier
Open
Proprietary

GDPval-AA Leaderboard

3 models • 0 verified
ContextCostLicense
1
Anthropic
—200K
$3.00
$15.00
2
Anthropic
—1.0M
$5.00
$25.00
3
Google
—1.0M
$2.50
$15.00
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FAQ

Common questions about GDPval-AA

GDPval-AA is an evaluation of AI model performance on economically valuable knowledge work tasks across professional domains including finance, legal, and other sectors. Run independently by Artificial Analysis, it uses Elo scoring to rank models on real-world work task performance.
The GDPval-AA leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, Claude Sonnet 4.6 by Anthropic leads with a score of 1633.000. The average score across all models is 1518.667.
The highest GDPval-AA score is 1633.000, achieved by Claude Sonnet 4.6 from Anthropic.
3 models have been evaluated on the GDPval-AA benchmark, with 0 verified results and 3 self-reported results.
GDPval-AA is categorized under agents, general, and reasoning. The benchmark evaluates text models.

Sub-benchmarks

GDPval-MM

GDPval-MM is the multimodal variant of the GDPval benchmark, evaluating AI model performance on real-world economically valuable tasks that require processing and generating multimodal content including documents, slides, diagrams, spreadsheets, images, and other professional deliverables across diverse industries.

multimodal•Max 1