Shypd.aiThe largest open index of AI toolsZeroBench is a visual benchmark for large multimodal AI models, designed to assess their ability to interpret and reason about visual content. It features 100 challenging main questions and 334 subquestions to differentiate model performance.
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ZeroBench is an impossible visual benchmark specifically designed to evaluate the capabilities of contemporary Large Multimodal Models (LMMs). It addresses the limitations of existing visual benchmarks that often become saturated, failing to effectively measure the true visual understanding of frontier models. ZeroBench comprises 100 uniquely curated, challenging main questions and 334 easier subquestions, each requiring individual reasoning steps. The benchmark is characterized by being challenging, lightweight, diverse, and high-quality, providing maximum headroom for future model advancements. It offers a leaderboard to track model performance, with current State of the Art (SotA) scores on pass@5 at 23%. The dataset is available on HuggingFace, along with evaluation code, making it accessible for researchers and developers to test and compare LMMs.
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