reasoning benchmark
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.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score90.2% | Percentile100.0% | Participants6 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score90.1% | Percentile80.0% | Participants6 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score84.3% | Percentile60.0% | Participants6 | EvidenceC | Evaluated |
| Rank04 | ModelME | Score82.5% | Percentile40.0% | Participants6 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score81.5% | Percentile20.0% | Participants6 | EvidenceC | Evaluated |
| Rank06 | ModelBA | Score39.8% | Percentile0.0% | Participants6 | 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 cmmlu 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
MiMo-V2.5-Pro currently leads CMMLU with 90.2%. 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 CMMLU measures and how its scores work.
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.
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 CMMLU.
MiMo-V2.5-Pro is currently ranked first with 90.2%.
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.
Yes. Higher values rank better for this benchmark.
6 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.