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This paper introduces Symphony-Bias, a multimodal dataset for evaluating gender bias in LLMs' associations with musical instruments across text, vision, and audio. It finds that 92% of instrument-level outcomes align with prior social-science findings, with gender biases strongest in text and weakest in audio.