Reasoning Benchmark

BoolQ

BoolQ is a QA task where each example comprises a short passage and a yes/no question. 0-shot.

Category

Reasoning

Score type

percent

Scale

100%

higher is better

Models tested

4

What is BoolQ?

BoolQ is a benchmark for general reasoning and comprehension. The official description says: "BoolQ is a QA task where each example comprises a short passage and a yes/no question". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

BoolQ measures general reasoning and comprehension. In detail, it checks:

  • drawing the right conclusion from a passage or scenario
  • commonsense judgement about everyday situations and words
  • counting, comparing and reasoning over several facts at once
  • avoiding shortcuts that memorise answers instead of reasoning

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: BoolQ is a QA task where each example comprises a short passage and a yes/no question. 0-shot.

Frequently asked questions

What is the BoolQ benchmark?

BoolQ is a benchmark for general reasoning and comprehension. The official description says: 'BoolQ is a QA task where each example comprises a short passage and a yes/no question'. Below we describe in simple words what benchmarks of this type generally examine.

What does BoolQ test?

BoolQ mainly measures general reasoning and comprehension. Concretely, it checks: drawing the right conclusion from a passage or scenario; commonsense judgement about everyday situations and words; counting, comparing and reasoning over several facts at once.

How is the BoolQ score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get BoolQ data and scores?

The official source is https://arxiv.org/abs/1905.10044. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/boolq/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 4 models tested

Reset
# Model Score Date Source Verified
1 Gemma 3 27B PT
Google DeepMind
82.4%
27.02.2025 Report Verified
2 Gemma 3 12B PT
Google DeepMind
78.8%
27.02.2025 Report Verified
3 Gemma 3 4B PT
Google DeepMind
72.3%
27.02.2025 Report Verified
4 Gemma 3 1B PT
Google DeepMind
63.2%
27.02.2025 Report Verified

What now?

You've seen how models score on BoolQ — here's what to do next.