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math benchmark

ScienceQA

ScienceQA is the first large-scale multimodal science question answering benchmark with 21,208 multiple-choice questions covering 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. The benchmark includes both text and image modalities, featuring detailed explanations and Chain-of-Thought reasoning to diagnose multi-hop reasoning ability.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • FAQ

ScienceQA Ranking

Higher score ranks better on this benchmark.

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01MIPhi-3.5-vision-instructMicrosoft91.3%100.0%1CAug 11, 2026

ScienceQA Highlights

The leading models and scores on this benchmark.

Rank #1Phi-3.5-vision-instruct91.3%

What is ScienceQA?

What ScienceQA measures and how its scores work.

ScienceQA is the first large-scale multimodal science question answering benchmark with 21,208 multiple-choice questions covering 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. The benchmark includes both text and image modalities, featuring detailed explanations and Chain-of-Thought reasoning to diagnose multi-hop reasoning ability.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
ScienceQA
Modality
multimodal
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
scienceqa|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about ScienceQA.

Which model scores highest on ScienceQA?

Phi-3.5-vision-instruct is currently ranked first with 91.3%.

What does ScienceQA measure?

ScienceQA is the first large-scale multimodal science question answering benchmark with 21,208 multiple-choice questions covering 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. The benchmark includes both text and image modalities, featuring detailed explanations and Chain-of-Thought reasoning to diagnose multi-hop reasoning ability.

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.