Token cost tracking monitors the computational expenditure of AI models, measuring usage per API call or task. It helps developers optimize budgets, identify cost spikes, and choose efficient models. Product managers and cloud architects benefit most, as it enables accurate forecasting, prevents overspend, and improves resource allocation for scalable AI deployments.
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