Detection & evals
SuperCLUE
SuperCLUE is a comprehensive benchmark for general-purpose large language models available in Chinese, designed to evaluate their performance relative to international models and human capabilities.
What is SuperCLUE?
SuperCLUE is a comprehensive benchmark for general-purpose large language models available in Chinese, designed to evaluate their performance relative to international models and human capabilities.As an evolution of the CLUE benchmark for the AGI era, it provides objective insights through multi-dimensional testing.
The framework includes the OPEN multi-turn open-ended benchmark, the OPT objective question benchmark for three major capabilities, and the Langya anonymous battle benchmark, with monthly updates.SuperCLUE categorizes performance into four quadrants—language understanding and generation, knowledge application, professional skills, and environmental adaptability and safety—covering ten foundational capabilities from casual chat to code generation.
Key features
- Ten FoundationalDetailed evaluation across ten dimensions including language understanding, chit-chat, context awareness, creative generation, knowledge, coding, logic, calculation, role-playing, and safety.
- Chinese-SpecificIn-depth assessment of Chinese linguistic nuances such as character forms, pinyin, syntax, literature, poetry, idioms, dialects, couplets, and classical Chinese.
- Multi-DimensionaProvides overall rankings, basic capability charts, Chinese feature charts, and open-source model lists to clearly display performance across specific sub-tasks.
- Monthly UpdatesLeaderboards are updated monthly to reflect the latest model releases and capability changes, ensuring timely and relevant evaluations.
- Human Baseline CIncludes human performance scores as a reference point, visually demonstrating the gap or proximity between top models and human capabilities.
- Safety AdversariFeatures dedicated safety evaluations to identify how models handle sensitive or inappropriate requests and adhere to privacy and security policies.
How to use it
- Visit the official SuperCLUE website or GitHub repository to access the latest evaluation framework and technical reports.
- Browse the latest leaderboard pages to view detailed scores for models in the overall, basic capability, or Chinese feature rankings.
- Select specific dimensions of interest, such as coding or safety, to compare how different models perform in those niche areas.
- Refer to the official monthly large model benchmark reports for deeper data analysis and industry insights.
- If you wish to participate in evaluations or submit results for new models, check the official contact information or project address for integration guidelines.
Where it fits
- Model SelectionEnterprises can use SuperCLUE's basic capability and Chinese feature scores to select the most suitable LLM for their specific business scenarios.
- Academic ResearcResearchers utilize the standardized benchmark to objectively compare model performance in Chinese contexts across different architectures or training strategies.
- Safety CompliancDevelopment teams assess model safety through the security capability leaderboard to ensure applications meet privacy protection and content compliance standards.
Pricing and free quota
Pricing and any free quota follow the official site.
Who it is for
- AI Model Developers
- NLP Researchers
- Enterprise Technology Decision Makers
- LLM Application Engineers
FAQ
What capabilities does SuperCLUE primarily evaluate?
It primarily evaluates ten foundational capabilities including language understanding and generation, knowledge application, professional skills (such as coding, logic, and calculation), and environmental adaptability and safety.
How often is the leaderboard updated?
The SuperCLUE leaderboard is updated on a monthly basis to reflect the performance of the latest models.
How can I view detailed evaluation data?
You can visit the latest leaderboard page on the SuperCLUE official website or refer to the officially released large model benchmark reports for detailed data.