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
Error-corrected MMLU subset; reported mainly by open-weight cards.
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 | 92.9 | percent | EM | 2025-01-22 · document_publication | DeepSeek-R1 |
| DeepSeek-V3 | 89.1 | percent | EM, 8K output limit | 2024-12-27 · document_publication | DeepSeek-V3 |
| Qwen3.5-397B-A17B | 94.9 | percent | thinking (temp 0.6, top_p 0.95, top_k 20) | 2026-02-16 · document_publication | Qwen3.5-397B-A17B |
| Qwen3-235B-A22B (Thinking) | 92.7 | percent | thinking mode | 2025-05-14 · document_publication | Qwen3 |