Workload cost planner

Plan the cost of an AI workload

Describe a workload with structured planning inputs. Pro customers can calculate low, base, and high token-cost estimates across supported Amazon Bedrock models without sharing prompt or response content.

Pro planning tool

Workload assumptions

No prompt or response content is requested or analyzed.

Pro results

Choose a task after calculator options load.

Choose how demanding a typical request is; Model Optimizer does not inspect your prompt.

Planning horizon

Compare against a callable model with complete pricing in this region and mode. It never changes candidate eligibility or fitness.

Models included Governed test candidates No model selection is needed. Pro results show the current candidate set from the capability catalog, including candidates with unavailable pricing, and you can choose a priced candidate to inspect.
Token-use assumption
Uses a low-to-high token range for your selections. No prompt is analyzed.

Loading calculator options…