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LLM Inference

LLM inference executes a language model on a prompt or other supported input to produce output tokens. An application may make several inference calls to complete one user task.

01Deep dive

Meaning and practical implications

Count system instructions, retrieved context, tool results, and generated output when estimating token use. Add retries and orchestration costs when comparing a single call with an agent workflow.

FAQFrequently asked questions

Common questions

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verified savings methodology · State of Inference Spend 2026