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
GDP.pdf Ranking
Higher score ranks better on this benchmark.
| 01 | AN | 81.6% | 100.0% | 5 | C | |
| 02 | OP | 30.7% | 75.0% | 5 | C | |
| 03 | AN | 29.8% | 50.0% | 5 | C | |
| 04 | OP | 24.7% | 25.0% | 5 | C | |
| 05 | OP | 22.7% | 0.0% | 5 | C |
GDP.pdf Score Distribution
A closer view of the leading scores on this benchmark.
GDP.pdf Highlights
The leading models and scores on this benchmark.
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.