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 7, 2026
Published models3
Registry coverage3
MetricScore
EvidenceB
GDPval-MM leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 84.9% | 100.0% | 3 | C | |
| 2 | OP | 82.3% | 50.0% | 3 | C | |
| 3 | MI | 59.0% | 0.0% | 3 | C |
Score distribution
Top published rows on the benchmark's original scale.
GDPval-MM highlights
The top published results on this benchmark's own scale.
What is GDPval-MM?
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- GDPval-MM
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- gdpval-mm|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.