Detection & evals
FlagEval
FlagEval is a large model capability evaluation platform initiated and maintained by the Beijing Academy of Artificial Intelligence (BAAI).
What is FlagEval?
FlagEval is a large model capability evaluation platform initiated and maintained by the Beijing Academy of Artificial Intelligence (BAAI).It aims to measure the true performance of large language models and multimodal models across various tasks through a scientific, objective, and comprehensive evaluation system.
As an authoritative benchmark in the industry, FlagEval covers multiple dimensions of testing, ranging from basic language abilities to complex logical reasoning.Developers, researchers, and enterprises can use this platform to obtain detailed evaluation reports, enabling more accurate selection of foundation models for specific application scenarios.
Key features
- Authoritative BaLed by the Beijing Academy of Artificial Intelligence (BAAI), ensuring professionalism and credibility in evaluation standards.
- Multi-dimensionaCovers key capability dimensions including language understanding, logical reasoning, code generation, and multimodal processing.
- Mainstream ModelContinuously tracks and evaluates major domestic and international open-source and closed-source large models, providing horizontal comparison data.
- Dynamic UpdatesEvaluation question banks and methods are regularly updated alongside model technology iterations to reflect the latest technical levels.
- Transparent RepoProvides detailed evaluation results and analysis reports to help users deeply understand model strengths and weaknesses.
How to use it
- Visit the official FlagEval website to view the latest model leaderboards.
- Browse different evaluation categories to understand the specific scores of various models.
- Click on specific model names to view detailed capability radar charts and sub-item test results.
- Refer to the officially published evaluation methodology documents to understand scoring standards and test processes.
- Follow platform updates to obtain evaluation data and industry insights for newly added models.
Where it fits
- Model SelectionBefore deploying large models, enterprises compare the performance of different models using FlagEval data to choose the most cost-effective solution.
- Academic ResearcResearchers use standardized evaluation results to analyze the impact of model architecture improvements on specific capability metrics.
- Technology TrendIndustry observers track long-term leaderboard changes to grasp the development direction and competitive landscape of large model technology.
Pricing and free quota
Pricing and any free quota follow the official site.
Who it is for
- AI Researchers
- LLM Developers
- Enterprise Tech Decision Makers
- Tech Industry Analysts
FAQ
Who developed FlagEval?
FlagEval is initiated and maintained by the Beijing Academy of Artificial Intelligence (BAAI).
What types of models are evaluated?
The platform primarily evaluates Large Language Models (LLMs) and multimodal large models, covering both open-source and closed-source mainstream models.
How can I get the latest evaluation data?
You can visit the official FlagEval website directly to view real-time updated leaderboards and detailed reports.