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 11, 2026
Models5
Model coverage5
MetricScore
EvidenceB
OpenBookQA Ranking
Higher score ranks better on this benchmark.
| 01 | MI | 89.6% | 100.0% | 5 | C | |
| 02 | MI | 79.2% | 75.0% | 5 | C | |
| 03 | MI | 79.2% | 50.0% | 5 | C | |
| 04 | MA | 60.6% | 25.0% | 5 | C | |
| 05 | NR | 49.4% | 0.0% | 5 | C |
OpenBookQA Score Distribution
A closer view of the leading scores on this benchmark.
OpenBookQA Highlights
The leading models and scores on this benchmark.
What is OpenBookQA?
What OpenBookQA measures and how its scores work.
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. This benchmark is not independently verified and has an evidence level of B.
- Family
- OpenBookQA
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- openbookqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
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 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.