reasoning benchmark
SimpleQA is an OpenAI factuality benchmark containing 4,326 short, fact-seeking questions with single, indisputable answers across topics including science, technology, and entertainment.
Updated Sep 7, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelDE | Score97.10% | Percentile100.00% | Participants47 | EvidenceC | Evaluated |
| Rank02 | ModelXA | Score95.00% | Percentile97.83% | Participants47 | EvidenceC | Evaluated |
| Rank03 | ModelDE | Score93.40% | Percentile95.65% | Participants47 | EvidenceC | Evaluated |
| Rank04 | ModelDE | Score92.30% | Percentile93.48% | Participants47 | EvidenceC | Evaluated |
| Rank05 | ModelBA | Score75.00% | Percentile91.30% | Participants47 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score72.10% | Percentile89.13% | Participants47 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score68.70% | Percentile86.96% | Participants47 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score62.50% | Percentile84.78% | Participants47 | EvidenceC | Evaluated |
| Rank09 | ModelDE | Score57.90% | Percentile82.61% | Participants47 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score55.40% | Percentile80.43% | Participants47 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score54.30% | Percentile78.26% | Participants47 | EvidenceC | Evaluated |
| Rank12 | ModelGO | Score54.00% | Percentile76.09% | Participants47 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score51.90% | Percentile73.91% | Participants47 | EvidenceC | Evaluated |
| Rank14 | ModelGO | Score50.80% | Percentile71.74% | Participants47 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score49.60% | Percentile69.57% | Participants47 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score48.00% | Percentile67.39% | Participants47 | EvidenceC | Evaluated |
| Rank17 | ModelOP | Score47.00% | Percentile65.22% | Participants47 | EvidenceC | Evaluated |
| Rank18 | ModelAC | Score44.40% | Percentile63.04% | Participants47 | EvidenceC | Evaluated |
| Rank19 | ModelGO | Score43.30% | Percentile60.87% | Participants47 | EvidenceC | Evaluated |
| Rank20 | ModelOP | Score42.40% | Percentile58.70% | Participants47 | EvidenceC | Evaluated |
| Rank21 | ModelOP | Score38.20% | Percentile56.52% | Participants47 | EvidenceC | Evaluated |
| Rank22 | ModelMA | Score35.30% | Percentile54.35% | Participants47 | EvidenceC | Evaluated |
| Rank23 | ModelDE | Score34.10% | Percentile52.17% | Participants47 | EvidenceC | Evaluated |
| Rank24 | ModelMA | Score31.00% | Percentile50.00% | Participants47 | EvidenceC | Evaluated |
| Rank25 | ModelMA | Score31.00% | Percentile47.83% | Participants47 | EvidenceC | Evaluated |
| Rank26 | ModelDE | Score28.90% | Percentile45.65% | Participants47 | EvidenceC | Evaluated |
| Rank27 | ModelAC | Score27.00% | Percentile43.48% | Participants47 | EvidenceC | Evaluated |
| Rank28 | ModelGO | Score26.90% | Percentile41.30% | Participants47 | EvidenceC | Evaluated |
| Rank29 | ModelDE | Score24.90% | Percentile39.13% | Participants47 | EvidenceC | Evaluated |
| Rank30 | ModelAC | Score23.90% | Percentile36.96% | Participants47 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What SimpleQA measures and how its scores work.
SimpleQA is a factuality benchmark developed by OpenAI for evaluating large language models.
It measures short-form factual accuracy and model calibration by evaluating whether models know what they know.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about SimpleQA.
DeepSeek-V3.2-Exp is currently ranked first with 97.10%.
The current leaders are DeepSeek-V3.2-Exp (97.10%), Grok 4 Fast (95.00%), and DeepSeek-V3.1 (93.40%).
Gemini 2.5 Flash-Lite has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
The fastest matched records are GPT-4o (132.00 tok/s via OpenAI), Gemini 3 Flash (124.32 tok/s via Google), and o3-mini (115.00 tok/s via Azure).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures short-form factual accuracy and model calibration by evaluating whether models know what they know.
Yes. Higher values rank better for this benchmark.
47 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis simpleqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
DeepSeek-V3.2-Exp currently leads SimpleQA with 97.10%. 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.