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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 C
16 termsCached token ratio
Cached token ratio is the share of input tokens served from a reusable context cache. 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 ROICommitted use discount
Committed use discount is a lower effective rate offered for a usage or capacity commitment. 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 ROIContext overhead
Context overhead is tokens carrying history, retrieved material, tools, or metadata around a task. 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 ROICost per agent run
Cost per agent run is model expense incurred by one execution of an agent task. 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 ROICost per AI evaluation
Cost per AI evaluation is expense of evaluating one response, task, or candidate system. 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 ROICost per AI review
Cost per AI review is the model expense required to produce one code or document review. 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 ROICost per AI session
Cost per AI session is the average AI expense associated with one user or agent session. 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 ROICost per AI test run
Cost per AI test run is model expense for generating, selecting, or analyzing one test run. 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 ROICost per AI user
Cost per AI user is the average AI expense associated with a user over a period. 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 ROICost per AI workflow
Cost per AI workflow is the average model expense for one defined multi-step 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 ROICost per code change
Cost per code change is AI expense associated with producing a code change that reaches an agreed state. 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 ROICost per completed task
Cost per completed task is the total cost of attempting a workload divided by the number of tasks that meet its completion criteria. For AI workflows, it can include model calls, retries, tool execution, and other costs within the stated measurement boundary.
Token costs and AI ROICost per generated artifact
Cost per generated artifact is the average expense for one accepted patch, summary, or report. 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 ROICost per resolved issue
Cost per resolved issue is model spend associated with resolving one software or support issue. 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 ROICost per successful AI outcome
Cost per successful AI outcome is the AI expense required for an agreed successful result. 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 ROICost per token
Cost per token is the price charged for processing a defined number of input or output tokens. Providers commonly quote separate input and output rates, and some offer lower prices for cached or batched work.
Token costs and AI ROI