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
CMMLU
CMMLU (Chinese Massive Multitask Language Understanding) is a comprehensive Chinese benchmark that evaluates the knowledge and reasoning capabilities of large language models across 67 different subject topics. The benchmark covers natural sciences, social sciences, engineering, and humanities with multiple-choice questions ranging from basic to advanced professional levels.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
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.
Original sources
Reported results 6
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| MiMo-V2.5-Pro | 0.902 | Not recorded | Not recorded | 2026-04-27 · model_announcement | LLM Stats |
| Qwen2 72B Instruct | 0.901 | Not recorded | Not recorded | 2024-07-23 · model_announcement | LLM Stats |
| LongCat-Flash-Chat | 0.8434 | Not recorded | Not recorded | 2025-08-29 · model_announcement | LLM Stats |
| LongCat-Flash-Lite | 0.8248 | Not recorded | Not recorded | 2026-02-05 · model_announcement | LLM Stats |
| MiniCPM-SALA | 0.8155 | Not recorded | Not recorded | 2026-02-11 · model_announcement | LLM Stats |
| ERNIE 4.5 | 0.398 | Not recorded | Not recorded | 2025-06-25 · model_announcement | LLM Stats |