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llmboard.aiCopyright 2026 llmboard.ai

language benchmark

BoolQ Leaderboard

BoolQ is a reading comprehension dataset of 15,942 naturally occurring yes/no questions with passages and boolean answers.

Updated Sep 5, 2026

Models10
Model coverage10
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
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  • FAQ

BoolQ Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelNRHermes 3 70BNous ResearchScore88.04%Percentile100.00%Participants10EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemma 2 27BGoogleScore84.80%Percentile88.89%Participants10EvidenceCEvaluatedSep 8, 2026
Rank03ModelMIPhi-3.5-MoE-instructMicrosoftScore84.60%Percentile77.78%Participants10EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemma 2 9BGoogleScore84.20%Percentile66.67%Participants10EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemma 3n E4BGoogleScore81.60%Percentile55.56%Participants10EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore81.60%Percentile44.44%Participants10EvidenceCEvaluatedSep 8, 2026
Rank07ModelMIPhi 4 MiniMicrosoftScore81.20%Percentile33.33%Participants10EvidenceCEvaluatedSep 8, 2026
Rank08ModelMIPhi-3.5-mini-instructMicrosoftScore78.00%Percentile22.22%Participants10EvidenceCEvaluatedSep 8, 2026
Rank09ModelGOGemma 3n E2BGoogleScore76.40%Percentile11.11%Participants10EvidenceCEvaluatedSep 8, 2026
Rank10ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore76.40%Percentile0.00%Participants10EvidenceCEvaluatedSep 8, 2026

BoolQ Highlights

The leading models and scores on this benchmark.

BoolQ Score Distribution

A closer view of the leading scores on this benchmark.

BoolQ

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.

What is BoolQ?

What BoolQ measures and how its scores work.

BoolQ is a language benchmark based on questions, passages, and boolean answers, including questions generated in unprompted and unconstrained settings.

It measures performance on yes/no reading comprehension questions involving entailment-like inference, reported as Score in ratio units.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
BoolQ
Modality
text
Primary category
language
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 BoolQ.

Which model scores highest on BoolQ?

Hermes 3 70B is currently ranked first with 88.04%.

What are the top three models on BoolQ?

The current leaders are Hermes 3 70B (88.04%), Gemma 2 27B (84.80%), and Phi-3.5-MoE-instruct (84.60%).

Which BoolQ model has the lowest official input price?

Phi 4 Mini has the lowest matched official input price at $0.08 input / $0.30 output per 1M tokens.

Which models are fastest among BoolQ results?

The fastest matched records are Phi-3.5-mini-instruct (23.00 tok/s via Azure).

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 BoolQ measure?

It measures performance on yes/no reading comprehension questions involving entailment-like inference, reported as Score in ratio units.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Hermes 3 70B88.04%
Rank #2Gemma 2 27B84.80%
Rank #3Phi-3.5-MoE-instruct84.60%
Rank #4Gemma 2 9B84.20%

Ranking basisThis boolq 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
    NR
    Hermes 3 70BNous Research
    Score
    88.04%

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BoolQ, not total model capability
  2. 02
    GO
    Gemma 2 27BGoogle
    Score
    84.80%

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BoolQ, not total model capability
  3. 03
    MI
    Microsoft
    Score
    84.60%

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BoolQ, not total model capability
  4. 04
    GO
    Google
    Score
    84.20%

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BoolQ, not total model capability
  5. 05
    GO
    Google
    Score
    81.60%

    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 88.04%. 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.

Phi-3.5-MoE-instruct
Gemma 2 9B
Gemma 3n E4B
Benchmark rank #1Hermes 3 70B88.04%
Benchmark rank #2Gemma 2 27B84.80%
Benchmark rank #3Phi-3.5-MoE-instruct84.60%