Cost Attribution
Shared Credentials and the Spend Attribution Breakdown Problem
Shared API keys hide which teams actually spend money on AI models.
Sofía Reyes-Montiel
· 10 min read
Shared API keys hide which teams actually spend money on AI models.
Implement request tagging at your gateway layer to track LLM costs by team and feature.
Understanding how images and audio convert to tokens reveals hidden cost differences of up to 9x.
Batch APIs save 50% but require rethinking when your workload actually needs the wait.
Hidden pricing mechanics like reasoning tokens and output ratios determine your actual LLM bill.
Avoid the shock of an inflated AI bill by modeling your token costs before launch.
Pricing strategies—not raw capacity—create a 71x cost spread for identical large-context workloads.
Output tokens cost 2 to 8 times more than input, reshaping your bill.