An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
Hello,
Thanks for raising this. It's always a good practice to validate your Azure Cost Management data against your application's API usage logs and Azure Metrics, especially after adopting a new model or pricing tier.
If you observe a significant discrepancy between Azure Cost Analysis, Azure Metrics, and the usage returned by the API, I'd recommend opening a Microsoft Support case and including:
- The affected subscription and Azure AI Foundry resource
- Model deployment name(s)
- Time range of the discrepancy
- Azure Metrics and API usage logs
- Cost Analysis screenshots or exports
Microsoft recommends using Cost Management together with service metrics to reconcile usage, while the invoice and billing meter records remain the authoritative billing source. If those sources don't align, the product team will need to investigate the metering records.
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