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.
Model reports
Knowledge cutoff must be recorded alongside the score.
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 |
|---|---|---|---|---|---|
| DeepSeek-R1 | 30.1 | percent | Correct | 2025-01-22 · document_publication | DeepSeek-R1 |
| DeepSeek-V3 | 24.9 | percent | Correct | 2024-12-27 · document_publication | DeepSeek-V3 |
| DeepSeek-V4-Pro | 45.0 | percent | non-think, pass@1 | 2026-04-22 · document_publication | DeepSeek-V4-Pro |
| DeepSeek-V4-Pro | 46.2 | percent | think high, pass@1 | 2026-04-22 · document_publication | DeepSeek-V4-Pro |
| DeepSeek-V4-Pro | 57.9 | percent | think max, pass@1 | 2026-04-22 · document_publication | DeepSeek-V4-Pro |
| DeepSeek-V4-Flash | 34.1 | percent | think max, pass@1 | 2026-06-25 · document_publication | DeepSeek-V4 |
| Gemini 2.5 Pro | 54.0 | percent | as reported | 2025-06-17 · document_publication | Gemini 2.5 Pro |