AWS Cost Explorer, Budgets, and Dashboards now support filtering and grouping Bedrock usage costs by attributes such as model name, provider, inference type (input/output tokens), and feature (e.g., on-demand inference). This granularity helps finance and platform teams identify which AI models or workloads drive spending.
Combining product attributes with cost allocation and IAM tags enables detailed insights into application and user-level consumption. The capability is broadly available across commercial AWS Regions (excluding some restricted locations) at no additional cost, facilitating proactive cost tracking and budgeting for AI workloads.
Source & further reading
AWS Cost Explorer, Budgets, and Dashboards now support Amazon Bedrock product attributes ↗Source published 2026-10-08. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.