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The token count mismatch you're experiencing between CloudWatch logs and your billing is a common issue with Amazon Bedrock. There are several reasons why your CloudWatch Logs Insights query might be showing token counts and costs that are 3-4 times less than what appears in your billing:
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Cumulative vs. Individual Request Counting: CloudWatch logs typically show token counts for individual requests, while billing may reflect cumulative token usage across an entire conversation session, including previous interactions and context.
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Session State Management: Bedrock models maintain conversation context through session state, which contributes to higher token counts in billing but may not be fully reflected in CloudWatch logs.
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System Prompts and Instructions: The billing may include tokens used for system prompts, instructions, and other internal formatting that aren't visible in the CloudWatch logs.
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Different Counting Mechanisms: The token counting algorithms may differ between CloudWatch logs and the billing system.
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Missing Metrics: Your query might not be capturing all relevant token metrics. For example, there might be additional token usage related to conversation memory or context management.
To get a more accurate picture, you could:
- Ensure you're capturing all invocations in your logs query timeframe
- Check if there are any additional metrics beyond the ones you're already tracking
- Consider that some token usage might be related to internal processing that isn't exposed in the logs
For accurate billing and usage tracking, it's generally recommended to rely on the AWS Cost Explorer or billing dashboard rather than trying to reconstruct costs from CloudWatch logs alone.
Sources
Token Count Mismatch | AWS re:Post
Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch | AWS Machine Learning Blog
How tokens are counted in Amazon Bedrock - Amazon Bedrock
I want to view costs at the AWS role level. As far as I know, Cost Explorer cannot display this level of granularity. Are there any good methods I can use?
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