Tests factual accuracy on simple questions from parametric knowledge, emphasizing calibration — knowing when the model doesn't know the answer.
Why it matters: GPT-4o scores below 40%, making it surprisingly challenging. Tests honesty and factual reliability, not just knowledge breadth.
Top Model
38.2%
GPT-4o
Average Score
38.2%
Across 1 model
Models Tested
1
Metric: accuracy
Human Baseline
—
Score Range: 0%–100%
All models with a reported SimpleQA score, ranked by highest accuracy.
SimpleQA is a standardized evaluation that measures AI model performance on specific tasks. It provides comparable scores across different models, helping developers choose the right model for their needs.
GPT-4o currently holds the top score on the SimpleQA benchmark. See our full rankings table above for the complete leaderboard with 1 models.
We update benchmark data from multiple sources including HuggingFace Open LLM Leaderboard and LMArena. Scores are refreshed regularly as new evaluations are published and new models are released.
No. While SimpleQA is an important indicator, real-world performance depends on many factors including pricing, latency, context window, and specific task requirements. We recommend using our composite score which weighs multiple benchmarks and practical factors.