multimodal benchmark
ScienceQA Visual
ScienceQA Visual is a multimodal science question answering benchmark consisting of 21,208 multiple-choice questions from elementary and high school science curricula. The dataset covers 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. 48.7% of questions include image context requiring multimodal reasoning. Questions are annotated with lectures (83.9%) and explanations (90.5%) to support chain-of-thought reasoning for science question answering.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
ScienceQA Visual Ranking
Higher score ranks better on this benchmark.
| 1 | MI | 97.5% | 100.0% | 1 | C |
ScienceQA Visual Highlights
The leading models and scores on this benchmark.
What is ScienceQA Visual?
What ScienceQA Visual measures and how its scores work.
ScienceQA Visual is a multimodal science question answering benchmark consisting of 21,208 multiple-choice questions from elementary and high school science curricula. The dataset covers 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. 48.7% of questions include image context requiring multimodal reasoning. Questions are annotated with lectures (83.9%) and explanations (90.5%) to support chain-of-thought reasoning for science question answering.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ScienceQA Visual
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- scienceqa-visual|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ScienceQA Visual.
Which model scores highest on ScienceQA Visual?
Phi-4-multimodal-instruct is currently ranked first with 97.5%.
What does ScienceQA Visual measure?
ScienceQA Visual is a multimodal science question answering benchmark consisting of 21,208 multiple-choice questions from elementary and high school science curricula. The dataset covers 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. 48.7% of questions include image context requiring multimodal reasoning. Questions are annotated with lectures (83.9%) and explanations (90.5%) to support chain-of-thought reasoning for science question answering.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.