3 documented OpenAI API cost inefficiencies, each with how to detect it and how to fix it.
OpenAI APICER-0507
Evaluations, dataset classification, data enrichment, embedding of content repositories and other asynchronous jobs are frequently run against the OpenAI API at Standard processing rates, because they were built as loops over the...
OpenAI APICER-0508
Prompt caching is enabled by default for supported OpenAI models, and reused prefix tokens are billed at a cached-input rate discounted by up to 90 percent. Reuse only happens when the entire rendered prefix matches: hidden system content,...
OpenAI APICER-0509
Classification, routing, triage, simple data extraction and small scoped edits are often sent to OpenAI's most capable model because a single model name is configured for the whole application. The per-token gap between tiers is large: at...