multimodal benchmark
MeasureBench
MeasureBench evaluates multimodal models on visual measurement and quantitative perception tasks across both real and synthetic imagery, reported as the average over the two settings.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
MeasureBench Ranking
Higher score ranks better on this benchmark.
| 01 | BY | 62.9% | 100.0% | 2 | C | |
| 02 | BY | 58.9% | 0.0% | 2 | C |
MeasureBench Score Distribution
A closer view of the leading scores on this benchmark.
MeasureBench Highlights
The leading models and scores on this benchmark.
What is MeasureBench?
What MeasureBench measures and how its scores work.
MeasureBench evaluates multimodal models on visual measurement and quantitative perception tasks across both real and synthetic imagery, reported as the average over the two settings.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MeasureBench
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- measurebench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MeasureBench.
Which model scores highest on MeasureBench?
Seed 2.1 Pro is currently ranked first with 62.9%.
What does MeasureBench measure?
MeasureBench evaluates multimodal models on visual measurement and quantitative perception tasks across both real and synthetic imagery, reported as the average over the two settings.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.