Seeing Logic: Measuring Visual Reasoning in Multimodal AI with Logic Vista

In this episode we unpack Logic Vista, a new benchmark designed to test whether multimodal LLMs can truly reason from visuals. We cover why existing tests miss this kind of visual logic, how Logic Vista sources licensed IQ-test style visuals to avoid data leakage, and the five categories of visual reasoning it targets (inductive, deductive, spatial, numerical, mechanical). We also summarize how state-of-the-art models performed, why spatial and numerical reasoning lag behind, and what this reveals about current AI capabilities and limitations. Finally, we discuss how researchers evaluate not just answers but the underlying reasoning, and what the path forward might look like for training data and robust evaluation.

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