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.
Workload assumptions
No prompt or response content is requested or analyzed.
Cost planning result
Choose a task and complexity, then enter monthly calls and growth to calculate a planning range.
We apply the same estimated token use for your selected task and complexity to each model’s current Bedrock input and output prices. This produces comparable cost ranges—not a quality ranking or model recommendation.
Comparison sources
View evidence and version details
Planning estimate—not a recommendation or guarantee. Test candidates with your own workload.
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Month 1 estimate
Planning-horizon estimate
Try this model in Playground
Playground availability is shown after a calculation.
Share this planning summary
Copies the visible workload, ranges, evidence, freshness, and version context—never prompt or response content, customer, session, or trace identifiers, raw hashes, or internal model identifiers.
Monthly projection
Each month applies the entered growth or decline rate to call volume.
View exact low, base, and high values by month
| Month | Calls | Low | Base | High | Current base |
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