reasoning benchmark
BoolQ Leaderboard
BoolQ is a reading comprehension dataset for yes/no questions containing 15,942 naturally occurring examples. Each example consists of a question, passage, and boolean answer, where questions are generated in unprompted and unconstrained settings. The dataset challenges models with complex, non-factoid information requiring entailment-like inference to solve.
Updated Aug 17, 2026
Models10
Model coverage10
MetricScore
EvidenceB
BoolQ Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelNR | Score88.0% | Percentile100.0% | Participants10 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score84.8% | Percentile88.9% | Participants10 | EvidenceC | Evaluated |
| Rank03 | ModelMI | Score84.6% | Percentile77.8% | Participants10 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score84.2% | Percentile66.7% | Participants10 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score81.6% | Percentile55.6% | Participants10 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score81.6% | Percentile44.4% | Participants10 | EvidenceC | Evaluated |
| Rank07 | ModelMI | Score81.2% | Percentile33.3% | Participants10 | EvidenceC | Evaluated |
| Rank08 | ModelMI | Score78.0% | Percentile22.2% | Participants10 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score76.4% | Percentile11.1% | Participants10 | EvidenceC | Evaluated |
| Rank10 | ModelGO | Score76.4% | Percentile0.0% | Participants10 | EvidenceC | Evaluated |
BoolQ Highlights
The leading models and scores on this benchmark.
BoolQ Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for BoolQ
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis boolq AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01NRHermes 3 70BNous Research
- Score
- 88.0%
Strengths
- Ranks #1 of 10 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures BoolQ, not total model capability
- 02GOGemma 2 27BGoogle
- Score
- 84.8%
Strengths
- Ranks #2 of 10 compared models
- 89th percentile on this benchmark
- C evidence result
Considerations
- This result measures BoolQ, not total model capability
- 03MIPhi-3.5-MoE-instructMicrosoft
- Score
- 84.6%
Strengths
- Ranks #3 of 10 compared models
- 78th percentile on this benchmark
- C evidence result
Considerations
- This result measures BoolQ, not total model capability
- 04GOGemma 2 9BGoogle
- Score
- 84.2%
Strengths
- Ranks #4 of 10 compared models
- 67th percentile on this benchmark
- C evidence result
Considerations
- This result measures BoolQ, not total model capability
- 05GOGemma 3n E4BGoogle
- Score
- 81.6%
- Speed
- Up to 42 tok/s via Together
Strengths
- Ranks #5 of 10 compared models
- 56th percentile on this benchmark
- C evidence result
Considerations
- This result measures BoolQ, not total model capability
Selection summary
Best AI Models for BoolQ
Hermes 3 70B currently leads BoolQ with 88.0%. 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 BoolQ?
What BoolQ measures and how its scores work.
BoolQ is a reading comprehension dataset for yes/no questions containing 15,942 naturally occurring examples. Each example consists of a question, passage, and boolean answer, where questions are generated in unprompted and unconstrained settings. The dataset challenges models with complex, non-factoid information requiring entailment-like inference to solve.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BoolQ
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- boolq|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BoolQ.
Which model scores highest on BoolQ?
Hermes 3 70B is currently ranked first with 88.0%.
What does BoolQ measure?
BoolQ is a reading comprehension dataset for yes/no questions containing 15,942 naturally occurring examples. Each example consists of a question, passage, and boolean answer, where questions are generated in unprompted and unconstrained settings. The dataset challenges models with complex, non-factoid information requiring entailment-like inference to solve.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
10 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.