Knowledge benchmark # BoolQ leaderboard > BoolQ results for 23 AI models, led by Falcon-180B at 89%. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/boolq - Last updated: 2026-10-10 - Title: BoolQ Leaderboard (October 2026): Scores by Model | Noometry As of October 2026, Falcon-180B has the highest published BoolQ score on Noometry at 89%, out of 23 models with results. Last verified October 10, 2026 ## About BoolQ Naturally occurring yes/no questions about a passage. - **Category:** [Knowledge](https://noometry.com/best/knowledge) - **Introduced:** 2019 - **Format:** Yes/no - **Unit:** Percent (random guessing ≈ 50%) - **Official site:** [github.com](https://github.com/google-research-datasets/boolean-questions) ## Top 15 models Top models on BoolQ 1. Falcon-180B 89% 2. GPT-4o mini 88.7% 3. Llama 2-70B 88.6% 4. Mistral 7B 87.4% 5. GPT-3.5-turbo 87% 6. Qwen-14B 86.2% 7. Gemini 1.5 Flash (May 2024) 85.8% 8. Gemma 2 9B 85.7% 9. Phi-3.5-MoE 84.6% 10. Llama 2-34B 83.7% 11. Gemma 7B 83.2% 12. Falcon-40B 83.1% 13. Llama 3.1-8B 82.8% 14. Mistral Nemo 82.5% 15. Llama 2-13B 82.4% 16. 808284868890 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results BoolQ results by model | # | Model | Provider | Score | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Falcon-180B](https://noometry.com/models/falcon-180b) | [![](/logos/tii.svg) Technology Innovation Institute](https://noometry.com/providers/tii) | 89% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 2 | [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | 88.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 3 | [Llama 2-70B](https://noometry.com/models/llama-2-70b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 88.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 4 | [Mistral 7B](https://noometry.com/models/mistral-7b) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 87.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 5 | [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | 87% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 6 | [Qwen-14B](https://noometry.com/models/qwen-14b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 86.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 7 | [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 85.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 8 | [Gemma 2 9B](https://noometry.com/models/gemma-2-9b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 85.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 9 | [Phi-3.5-MoE](https://noometry.com/models/phi-3-5-moe) | [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 84.6% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 10 | [Llama 2-34B](https://noometry.com/models/llama-2-34b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 83.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 11 | [Gemma 7B](https://noometry.com/models/gemma-7b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 83.2% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 12 | [Falcon-40B](https://noometry.com/models/falcon-40b) | [![](/logos/tii.svg) Technology Innovation Institute](https://noometry.com/providers/tii) | 83.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 13 | [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 82.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 14 | [Mistral Nemo](https://noometry.com/models/mistral-nemo) | [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 82.5% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 15 | [Llama 2-13B](https://noometry.com/models/llama-2-13b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 82.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 16 | [Llama 13b](https://noometry.com/models/llama-13b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 78.7% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 17 | [Phi-3.5-mini](https://noometry.com/models/phi-3-5-mini) | [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 78% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 18 | [Llama 2-7B](https://noometry.com/models/llama-2-7b) | [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 77.9% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 19 | [Qwen-7B](https://noometry.com/models/qwen-7b) | [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 76.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 20 | [Phi-1.5](https://noometry.com/models/phi-1-5) | [![](/logos/microsoft.svg) Microsoft](https://noometry.com/providers/microsoft) | 75.8% | 5 | [Epoch AI](https://epoch.ai/benchmarks) | | | 21 | [Falcon-7B](https://noometry.com/models/falcon-7b) | [![](/logos/tii.svg) Technology Innovation Institute](https://noometry.com/providers/tii) | 75.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 22 | [Gemma 2B](https://noometry.com/models/gemma-2b) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 69.4% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 23 | [Dolly 2.0-12b](https://noometry.com/models/dolly-2-0-12b) | [![](/logos/databricks.svg) Databricks](https://noometry.com/providers/databricks) | 56.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | ## Compare the leaders - [Falcon-180B vs GPT-4o mini](https://noometry.com/compare/falcon-180b-vs-gpt-4o-mini) - [Falcon-180B vs Llama 2-70B](https://noometry.com/compare/falcon-180b-vs-llama-2-70b) - [Falcon-180B vs Mistral 7B](https://noometry.com/compare/falcon-180b-vs-mistral-7b) - [Falcon-180B vs GPT-3.5-turbo](https://noometry.com/compare/falcon-180b-vs-gpt-3-5-turbo) - [GPT-4o mini vs Llama 2-70B](https://noometry.com/compare/gpt-4o-mini-vs-llama-2-70b) - [GPT-4o mini vs Mistral 7B](https://noometry.com/compare/gpt-4o-mini-vs-mistral-7b) ## Other knowledge benchmarks - [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) - [Humanity's Last Exam](https://noometry.com/benchmarks/hle) - [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) - [MMLU-Pro](https://noometry.com/benchmarks/mmlu-pro) - [Confabulations](https://noometry.com/benchmarks/confabulations) - [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) - [LMArena Expert](https://noometry.com/benchmarks/arena-expert) - [GPQA (HELM)](https://noometry.com/benchmarks/helm-gpqa) - [ARC (AI2) Challenge](https://noometry.com/benchmarks/arc-challenge) (reference) - [MMLU](https://noometry.com/benchmarks/mmlu) (reference) - [OpenBookQA](https://noometry.com/benchmarks/openbookqa) (reference) - [TriviaQA](https://noometry.com/benchmarks/triviaqa) (reference) ## Frequently asked questions ### What does BoolQ measure? Naturally occurring yes/no questions about a passage. ### Which model has the highest BoolQ score? As of October 2026, Falcon-180B has the highest published BoolQ score on Noometry at 89%, out of 23 models with results. ### What is the best open-weight model on BoolQ? Falcon-180B has the highest BoolQ accuracy among open-weight models at 89%, ranking 1 of 23 overall. ### Cite this page Noometry. (2026). BoolQ leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/boolq Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/boolq.md).