FlagEval
FlagEval is BAAI's LLM evaluation platform with a capability-task-metric framework, 22+ datasets and 80k questions, multimodal and multi-hardware support, covering 800+ models.
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Best for: model teams, enterprise selectors, and institutions needing multimodal or domestic-hardware evaluation; not for: casual users wanting quick scores.
Verified facts
What is FlagEval
FlagEval is BAAI's LLM evaluation platform with a capability-task-metric framework, 22+ datasets and 80k questions, multimodal and multi-hardware support, covering 800+ models.
Key features of FlagEval
- Systematically evaluating foundation models via the 3D framework
- Submitting models through automated subjective/objective pipelines
- Evaluating text, image, and video multimodal models
- Comparing 800+ open and closed models worldwide
Good for
- Solid capability-task-metric methodology
- 22+ datasets, 80k questions, multimodal and multi-hardware
- Fully automated pipelines covering 800+ models
Watch out
- Submission workflow has an engineering threshold
- Pricing and quotas are not published
- Hard for individuals to run full evaluations alone
How to use FlagEval
- Register and log in on the FlagEval site
- Prepare model files, inference code, and configs
- Install the FlagEval-Serving tool
- Get a token and upload model and code via CLI
- Create an evaluation task and review results
Who FlagEval is for
Difficulty: Advanced
- Systematically evaluating foundation models via the 3D framework
- Submitting models through automated subjective/objective pipelines
- Evaluating text, image, and video multimodal models
- Comparing 800+ open and closed models worldwide
FAQ
What framework does FlagEval use?
A capability-task-metric 3D framework covering dialogue, QA, sentiment analysis, and more, with 22+ datasets and 80k questions.
Does it support multimodal evaluation?
Yes — text, image, and video, compatible with PyTorch and MindSpore plus NVIDIA, Ascend, Cambricon, and Kunlunxin hardware.
Is FlagEval free?
No pricing is published. The workflow is available after registration; resource quotas follow platform documentation.
Sources and verification
Sources: flageval.baai.ac.cn (opens in a new tab)
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