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.

Qwen2 72B Instruct from Alibaba Cloud / Qwen Team currently leads the CMMLU leaderboard with a score of 0.901 across 5 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen2 72B Instruct leads with 90.1%, followed by MeituanLongCat-Flash-Chat at 84.3% and MeituanLongCat-Flash-Lite at 82.5%.

Progress Over Time

Interactive timeline showing model performance evolution on CMMLU

State-of-the-art frontier
Open
Proprietary

CMMLU Leaderboard

5 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
72B
2560B128K$0.30 / $1.20
369B256K$0.10 / $0.40
49B
521B
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FAQ

Common questions about CMMLU.

What is the CMMLU 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.

What is the CMMLU leaderboard?

The CMMLU leaderboard ranks 5 AI models based on their performance on this benchmark. Currently, Qwen2 72B Instruct by Alibaba Cloud / Qwen Team leads with a score of 0.901. The average score across all models is 0.757.

What is the highest CMMLU score?

The highest CMMLU score is 0.901, achieved by Qwen2 72B Instruct from Alibaba Cloud / Qwen Team.

How many models are evaluated on CMMLU?

5 models have been evaluated on the CMMLU benchmark, with 0 verified results and 5 self-reported results.

Where can I find the CMMLU paper?

The CMMLU paper is available at https://arxiv.org/abs/2306.09212. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does CMMLU cover?

CMMLU is categorized under general, language, and reasoning. The benchmark evaluates text models with multilingual support.

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