AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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.
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Hermes 3 70B | 0.8804 | Not recorded | Not recorded | 2024-08-15 · model_announcement | LLM Stats |
| Gemma 2 27B | 0.848 | Not recorded | Not recorded | 2024-06-27 · model_announcement | LLM Stats |
| Phi-3.5-MoE-instruct | 0.846 | Not recorded | Not recorded | 2024-08-23 · model_announcement | LLM Stats |
| Gemma 2 9B | 0.842 | Not recorded | Not recorded | 2024-06-27 · model_announcement | LLM Stats |
| Gemma 3n E4B | 0.816 | Not recorded | Not recorded | 2025-06-26 · model_announcement | LLM Stats |
| Gemma 3n E4B Instructed LiteRT Preview | 0.816 | Not recorded | Not recorded | 2025-05-20 · model_announcement | LLM Stats |
| Phi 4 Mini | 0.812 | Not recorded | Not recorded | 2025-02-01 · model_announcement | LLM Stats |
| Phi-3.5-mini-instruct | 0.78 | Not recorded | Not recorded | 2024-08-23 · model_announcement | LLM Stats |
| Gemma 3n E2B | 0.764 | Not recorded | Not recorded | 2025-06-26 · model_announcement | LLM Stats |
| Gemma 3n E2B Instructed LiteRT (Preview) | 0.764 | Not recorded | Not recorded | 2025-05-20 · model_announcement | LLM Stats |