Categoryexternal
MeasureDecision classification
TasksChoosing the better of two model responses
DifficultyDepends on the evaluated split and label mapping
JudgeBench evaluates whether a judge can identify the better response in pairs with objective correctness labels. It tests judgment on challenging questions rather than agreement with writing style preferences.
No model in the catalog has a published JudgeBench score.The benchmark is defined by JudgeBench: A Benchmark for Evaluating LLM-Based Judges, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
About JudgeBench
What the benchmark measures and how its value is published, from the source’s own record.
What is JudgeBench?
JudgeBench is an external benchmark published by JudgeBench: A Benchmark for Evaluating LLM-Based Judges. JudgeBench evaluates whether a judge can identify the better response in pairs with objective correctness labels. It tests judgment on challenging questions rather than agreement with writing style preferences. Its evaluation set is described by the source as choosing the better of two model responses. The source rates its difficulty as depends on the evaluated split and label mapping.
How is JudgeBench scored?
Each model's result is published by JudgeBench: A Benchmark for Evaluating LLM-Based Judges as decision classification. ModelScale prints that value exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
ModelScale