multimodal benchmark
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.
Updated Aug 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
GDPval-MM Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 84.9% | 100.0% | 3 | C | |
| 02 | OP | 82.3% | 50.0% | 3 | C | |
| 03 | MI | 59.0% | 0.0% | 3 | C |
GDPval-MM Score Distribution
A closer view of the leading scores on this benchmark.
GDPval-MM Highlights
The leading models and scores on this benchmark.
What is GDPval-MM?
What GDPval-MM measures and how its scores work.
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.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- GDPval-MM
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- gdpval-mm|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about GDPval-MM.
Which model scores highest on GDPval-MM?
GPT-5.5 is currently ranked first with 84.9%.
What does GDPval-MM measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.