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multimodal benchmark

ScienceQA Visual Leaderboard

ScienceQA Visual is a multimodal science question answering benchmark with 21,208 multiple-choice questions from elementary and high school science curricula.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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ScienceQA Visual Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi-4-multimodal-instructMicrosoftScore97.50%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

ScienceQA Visual Highlights

The leading models and scores on this benchmark.

Rank #1Phi-4-multimodal-instruct97.50%

The Top AI Models for ScienceQA Visual

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

Ranking basisThis scienceqa visual 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
    97.50%
    Speed
    Up to 25.00 tok/s via DeepInfra

    Strengths

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

    Considerations

    • This result measures ScienceQA Visual, not total model capability

Selection summary

Best AI Models for ScienceQA Visual

Phi-4-multimodal-instruct currently leads ScienceQA Visual with 97.50%. 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 Visual?

What ScienceQA Visual measures and how its scores work.

The benchmark covers natural science, language science, and social science across 26 topics, 127 categories, and 379 skills; 48.7% of questions include image context, and questions are annotated with lectures and explanations.

It reports Score as a ratio 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
overall

LLM Stats. 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 97.50%.

What are the top three models on ScienceQA Visual?

The current leaders are Phi-4-multimodal-instruct (97.50%).

Which ScienceQA Visual model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among ScienceQA Visual results?

The fastest matched records are Phi-4-multimodal-instruct (25.00 tok/s via DeepInfra).

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 Visual measure?

It reports Score as a ratio 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.

Phi-4-multimodal-instruct
Benchmark rank #1Phi-4-multimodal-instruct97.50% · Up to 25.00 tok/s via DeepInfra