ZeroBench.

ZeroBench is a lightweight, challenging visual reasoning benchmark for large multimodal models (LMMs). It consists of 100 hand-crafted questions and 334 subquestions, covering a wide range of domains and visual capabilities. All 20 models evaluated on ZeroBench scored 0.0% across the board on the main questions, making it an impossible visual benchmark for contemporary frontier LMMs.

Best published scores.

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Neighbouring benchmarks.

Other Vision-Language Models datasets on Codesota.

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• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies