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reasoning benchmark

OpenBookQA

OpenBookQA is a question-answering dataset modeled after open book exams for assessing human understanding. It contains 5,957 multiple-choice elementary-level science questions that probe understanding of 1,326 core science facts and their application to novel situations, requiring combination of open book facts with broad common knowledge through multi-hop reasoning.

Updated Aug 7, 2026

Published models5
Registry coverage5
MetricScore
EvidenceB

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  • FAQ

OpenBookQA leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

5 rows
Columns

Show columns

1MIPhi-3.5-MoE-instructMicrosoft89.6%100.0%5CAug 7, 2026
2MIPhi-3.5-mini-instructMicrosoft79.2%75.0%5CAug 7, 2026
3MIPhi 4 MiniMicrosoft79.2%50.0%5CAug 7, 2026
4MAMistral NeMo InstructMistral AI60.6%25.0%5CAug 7, 2026
5NRHermes 3 70BNous Research49.4%0.0%5CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

OpenBookQA

OpenBookQA highlights

The top published results on this benchmark's own scale.

Rank #1Phi-3.5-MoE-instruct89.6%Rank #2Phi-3.5-mini-instruct79.2%Rank #3Phi 4 Mini79.2%Rank #4Mistral NeMo Instruct60.6%

What is OpenBookQA?

Definition and scoring fields from the benchmark registry.

OpenBookQA is a question-answering dataset modeled after open book exams for assessing human understanding. It contains 5,957 multiple-choice elementary-level science questions that probe understanding of 1,326 core science facts and their application to novel situations, requiring combination of open book facts with broad common knowledge through multi-hop reasoning.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
OpenBookQA
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
openbookqa|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about OpenBookQA.

Which model scores highest on OpenBookQA?

Phi-3.5-MoE-instruct is currently ranked first with 89.6%.

What does OpenBookQA measure?

OpenBookQA is a question-answering dataset modeled after open book exams for assessing human understanding. It contains 5,957 multiple-choice elementary-level science questions that probe understanding of 1,326 core science facts and their application to novel situations, requiring combination of open book facts with broad common knowledge through multi-hop reasoning.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

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Modalities

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