AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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.
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Gemma 2 27B | 0.345 | Not recorded | Not recorded | 2024-06-27 · model_announcement | LLM Stats |
| Mistral NeMo Instruct | 0.312 | Not recorded | Not recorded | 2024-07-18 · model_announcement | LLM Stats |
| Gemma 2 9B | 0.292 | Not recorded | Not recorded | 2024-06-27 · model_announcement | LLM Stats |
| Gemma 3n E4B | 0.209 | Not recorded | Not recorded | 2025-06-26 · model_announcement | LLM Stats |
| Gemma 3n E4B Instructed LiteRT Preview | 0.209 | Not recorded | Not recorded | 2025-05-20 · model_announcement | LLM Stats |
| Gemma 3n E2B | 0.155 | Not recorded | Not recorded | 2025-06-26 · model_announcement | LLM Stats |
| Gemma 3n E2B Instructed LiteRT (Preview) | 0.155 | Not recorded | Not recorded | 2025-05-20 · model_announcement | LLM Stats |