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math benchmark

ScienceQA Leaderboard

ScienceQA is a multimodal science question answering benchmark with 21,208 multiple-choice questions across natural science, language science, and social science.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • FAQ

ScienceQA Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi-3.5-vision-instructMicrosoftScore91.30%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

ScienceQA Highlights

The leading models and scores on this benchmark.

Rank #1Phi-3.5-vision-instruct91.30%

The Top AI Models for ScienceQA

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis scienceqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    Microsoft
    Score
    91.30%

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures ScienceQA, not total model capability

Selection summary

Best AI Models for ScienceQA

Phi-3.5-vision-instruct currently leads ScienceQA with 91.30%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

What is ScienceQA?

What ScienceQA measures and how its scores work.

ScienceQA is a benchmark covering 3 subjects, 26 topics, 127 categories, and 379 skills, with text and image modalities, detailed explanations, and Chain-of-Thought reasoning.

It measures Score on multiple-choice science questions and is used 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
overall

LLM Stats. 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 91.30%.

What are the top three models on ScienceQA?

The current leaders are Phi-3.5-vision-instruct (91.30%).

Which ScienceQA model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among ScienceQA results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does ScienceQA measure?

It measures Score on multiple-choice science questions and is used 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.

Phi-3.5-vision-instruct
Benchmark rank #1Phi-3.5-vision-instruct91.30%