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HomeBenchmarksmultimodalGDP.pdf

multimodal benchmark

GDP.pdf

GDP.pdf is a knowledge-work vision benchmark that evaluates models on economically valuable professional tasks presented as visual documents (PDFs), testing document-based reasoning, chart and table interpretation, and problem solving without tools.

Updated Aug 11, 2026

Models5
Model coverage5
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

GDP.pdf Ranking

Higher score ranks better on this benchmark.

5 rows
Columns

Show columns

1ANClaude Sonnet 5Anthropic81.6%100.0%5CAug 11, 2026
2OPGPT-5.6 SolOpenAI30.7%75.0%5CAug 11, 2026
3ANClaude Fable 5Anthropic29.8%50.0%5CAug 11, 2026
4OPGPT-5.6 TerraOpenAI24.7%25.0%5CAug 11, 2026
5OPGPT-5.6 LunaOpenAI22.7%0.0%5CAug 11, 2026

GDP.pdf Score Distribution

A closer view of the leading scores on this benchmark.

GDP.pdf

GDP.pdf Highlights

The leading models and scores on this benchmark.

Rank #1Claude Sonnet 581.6%Rank #2GPT-5.6 Sol30.7%Rank #3Claude Fable 529.8%Rank #4GPT-5.6 Terra24.7%

What is GDP.pdf?

What GDP.pdf measures and how its scores work.

GDP.pdf is a knowledge-work vision benchmark that evaluates models on economically valuable professional tasks presented as visual documents (PDFs), testing document-based reasoning, chart and table interpretation, and problem solving without tools.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
GDP.pdf
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
gdp-pdf|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about GDP.pdf.

Which model scores highest on GDP.pdf?

Claude Sonnet 5 is currently ranked first with 81.6%.

What does GDP.pdf measure?

GDP.pdf is a knowledge-work vision benchmark that evaluates models on economically valuable professional tasks presented as visual documents (PDFs), testing document-based reasoning, chart and table interpretation, and problem solving without tools.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.

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Modalities

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