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LLMs may offer slight performance advantages, but their exorbitant costs and slower processing times make embedding models the smarter choice for most tasks.
Audio models can't do it all: a comprehensive benchmark reveals stark performance trade-offs between acoustic and linguistic understanding, with no single model dominating across diverse audio tasks.
