Why does Anthropic Claude cost reporting in Azure Cost Management not provide the same resource-level visibility as Azure OpenAI?

Jaganathan L 10 Reputation points
2026-10-08T19:22:32.3433333+00:00

We are using Anthropic Claude models in Azure AI Foundry and analyzing usage and cost through the Azure Cost Management API and Cost Details API.

For Azure OpenAI resources, billing data provides resource and meter information that can be used to attribute usage and cost to specific resources. However, for Anthropic models, the Cost Management API currently shows Claude marketplace consumption information, but does not provide visibility into:

  • Azure AI Foundry Project
  • Foundry Resource
  • Model / Deployment
  • Usage
  • Cost

As a result, when multiple Azure AI Foundry Projects and Anthropic deployments exist, it is difficult to determine which project or deployment generated the reported usage and associated cost.

Our objective is to establish the following relationship:

Foundry Project → Resource → Model/Deployment → Usage → Cost

When querying the Cost Management API and Cost Details API, we can see Anthropic-related billing information, but we are unable to identify any Foundry Project, deployment, or other resource-level identifier that allows us to correlate the reported usage and cost back to a specific project or deployment.

Questions

  1. Is there a supported API that provides project-level or deployment-level attribution for Anthropic model usage and cost?
  2. Is there any identifier, dimension, resource ID, meter information, or reporting mechanism that can be used to correlate Cost Management data with Azure AI Foundry Projects and Deployments?
  3. What is the recommended approach for performing utilization and cost analysis across multiple Foundry Projects and Anthropic deployments?
  4. Are there any plans to expose Foundry Project or deployment-level attribution through Cost Management APIs or Cost Details APIs?

Any guidance or recommended approach would be appreciated.

Cost Management
Cost Management

A Microsoft offering that enables tracking of cloud usage and expenditures for Azure and other cloud providers.


1 answer

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  1. Jaganathan L 10 Reputation points
    2026-10-14T10:54:14.49+00:00

    Thank you for the clarification and detailed explanation.

    We understand that project-level and deployment-level cost attribution is currently not supported for Marketplace models such as Anthropic Claude and that the recommended approach is to perform cost allocation using Azure Monitor usage metrics.

    However, for enterprise governance, chargeback/showback, financial reporting, and cost optimization, we would like to request an enhancement to the Azure Cost Management APIs and Cost Details APIs for Marketplace AI services.

    Specifically, it would be beneficial if the APIs could expose:

    • Azure AI Foundry Project
    • Foundry Resource
    • Model Name
    • Deployment Name
    • Deployment Resource ID
    • Usage Metrics (Input Tokens, Output Tokens, Total Tokens)
    • Actual Billed Cost
    • Cost attribution dimensions required for chargeback and showback

    This would enable customers to directly establish the relationship:

    Foundry Project → Resource → Model/Deployment → Usage → Actual Cost

    Similar capabilities are available for Azure OpenAI resources and would be highly valuable for Marketplace-based AI services such as Anthropic Claude.

    As organizations increasingly adopt Marketplace AI models, direct project- and deployment-level cost attribution would significantly improve financial governance, cost reporting, utilization analysis, and chargeback processes.

    We kindly request that this be considered as a future enhancement for Marketplace AI services.

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