reasoning benchmark
SimpleQA Verified
SimpleQA Verified is a curated, reliability-focused subset of SimpleQA that addresses label noise and redundancy in the original benchmark, measuring short-form parametric factual accuracy of large language models on fact-seeking questions with single, indisputable answers.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
SimpleQA Verified Ranking
Higher score ranks better on this benchmark.
| 1 | MI | 31.0% | 100.0% | 1 | C |
SimpleQA Verified Highlights
The leading models and scores on this benchmark.
What is SimpleQA Verified?
What SimpleQA Verified measures and how its scores work.
SimpleQA Verified is a curated, reliability-focused subset of SimpleQA that addresses label noise and redundancy in the original benchmark, measuring short-form parametric factual accuracy of large language models on fact-seeking questions with single, indisputable answers.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SimpleQA Verified
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- simpleqa-verified|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SimpleQA Verified.
Which model scores highest on SimpleQA Verified?
MAI-Thinking-1 is currently ranked first with 31.0%.
What does SimpleQA Verified measure?
SimpleQA Verified is a curated, reliability-focused subset of SimpleQA that addresses label noise and redundancy in the original benchmark, measuring short-form parametric factual accuracy of large language models on fact-seeking questions with single, indisputable answers.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.