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Track the economics of AI usage, from token accounting to cost per completed task. Connect spending to engineering outcomes rather than treating usage as value.
Terms beginning with I
3 termsInference unit cost
Inference unit cost is the expense of one defined model-serving unit such as a request or workflow. It gives teams a way to name, measure, or reason about an economic property of an AI workload without treating raw usage as proof of value.
Token costs and AI ROIInput token
An input token is a unit of text or other encoded content sent to a language model before generation. The prompt, system instructions, conversation history, retrieved passages, and tool results can all contribute input tokens.
Token costs and AI ROIInput-output token mix
Input-output token mix is the proportion of input and output tokens in a workload. It gives teams a way to name, measure, or reason about an economic property of an AI workload without treating raw usage as proof of value.
Token costs and AI ROI