If you’ve moved your RAG pipeline to Claude embeddings, you might have noticed the invoice didn’t shrink as much as you hoped.
A small SaaS team in the EU (case-002) ran identical customer support auto-replies through Claude after switching from GPT embeddings. Their monthly bill dropped from $1,840 to $287—identical quality, verified by a 50-sample blind A/B test. The savings came entirely from the inference side; embeddings were a rounding error.
An indie hacker in the US (case-001) building a CRM UI saw a similar pattern. Heavy codegen prompts pushed their Claude spend from $312 to $74 after the switch. The embeddings cost was negligible, but the inference savings compounded quickly—especially in iterative loops.
For agentic workflows, the delta is even sharper. A UK agency (case-004) running research-draft-critique loops cut their bill from $2,490 to $498. The embeddings were a fixed cost; the real savings came from how Claude was used after the switch.
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