reasoning benchmark
Natural Questions is a question answering dataset featuring real anonymized queries issued to Google search engine. It contains 307,373 training examples where annotators provide long answers (passages) and short answers (entities) from Wikipedia pages, or mark them as unanswerable.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score34.5% | Percentile100.0% | Participants7 | EvidenceC | Evaluated |
| Rank02 | ModelMA | Score31.2% | Percentile83.3% | Participants7 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score29.2% | Percentile66.7% | Participants7 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score20.9% | Percentile50.0% | Participants7 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score20.9% | Percentile33.3% | Participants7 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score15.5% | Percentile16.7% | Participants7 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score15.5% | Percentile0.0% | Participants7 | 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.
Ranking basisThis natural questions 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.
Selection summary
Gemma 2 27B currently leads Natural Questions with 34.5%. 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 Natural Questions measures and how its scores work.
Natural Questions is a question answering dataset featuring real anonymized queries issued to Google search engine. It contains 307,373 training examples where annotators provide long answers (passages) and short answers (entities) from Wikipedia pages, or mark them as unanswerable.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Natural Questions.
Gemma 2 27B is currently ranked first with 34.5%.
Natural Questions is a question answering dataset featuring real anonymized queries issued to Google search engine. It contains 307,373 training examples where annotators provide long answers (passages) and short answers (entities) from Wikipedia pages, or mark them as unanswerable.
Yes. Higher values rank better for this benchmark.
7 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.