reasoning benchmark
SimpleQA Verified Leaderboard
SimpleQA Verified is a curated subset of SimpleQA that addresses label noise and redundancy in the original benchmark.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
SimpleQA Verified Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score31.00% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelTM | Score20.60% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
SimpleQA Verified Highlights
The leading models and scores on this benchmark.
SimpleQA Verified Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for SimpleQA Verified
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is SimpleQA Verified?
What SimpleQA Verified measures and how its scores work.
SimpleQA Verified is a benchmark for large language models using fact-seeking questions with single, indisputable answers.
It measures short-form parametric factual accuracy, reported as a Score ratio.
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
- overall
LLM Stats. 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 31.00%.
What are the top three models on SimpleQA Verified?
The current leaders are MAI-Thinking-1 (31.00%) and Inkling-Small (20.60%).
Which SimpleQA Verified model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among SimpleQA Verified results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.