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This paper introduces ActiveVision, a benchmark to evaluate active observation in multimodal large language models. Frontier models like GPT-5.5 and Claude Fable 5 perform poorly, solving only 10.6% and 3.5% of tasks respectively, compared to human 96.1%, highlighting a lack of iterative visual perception.