reasoning benchmark
SimpleQA Verified Leaderboard
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 17, 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 | Score31.0% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelTM | Score20.6% | Percentile0.0% | 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.
Ranking basisThis simpleqa verified AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMAI-Thinking-1Microsoft
- Score
- 31.0%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleQA Verified, not total model capability
- 02TMInkling-SmallThinking Machines Lab
- Score
- 20.6%
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures SimpleQA Verified, not total model capability
Selection summary
Best AI Models for SimpleQA Verified
MAI-Thinking-1 currently leads SimpleQA Verified with 31.0%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
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?
2 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.