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Uber, Microsoft move to control AI costs as \'model mixing\' gains ground

Companies are moving away from simply increasing artificial intelligence use and are adopting cost-control strategies that assign different AI models by task. The approach, known as “model mixing,” is gaining attention as AI spending rises. Executives and users describe choosing cheaper models for routine work and reserving top-tier systems for complex tasks. Model-routing software that automatically assigns requests to suitable models is also drawing interest, as firms seek to balance performance and costs.