A buyer side guide to cutting Claude spend without cutting quality. Model routing, prompt caching, and batch, explained with the real numbers and a checklist your engineers can run this quarter. Enter your work email and we send the full guide straight over.
Most enterprise Claude bills are larger than they need to be, and the reason is rarely the contract. It is the workload. Teams default to running everything on the most capable model in real time, and the invoice reflects that choice rather than the actual difficulty of the work. This guide walks through the three levers that change the bill the most, in the order we apply them with clients.
The single biggest driver of aggregate spend is which model handles each request. Opus is built for the hardest reasoning. A great deal of production traffic is classification, extraction, routing, and short answers that Sonnet or Haiku handle just as well at a fraction of the cost. The guide shows how to classify your traffic and route it, and why this alone commonly moves aggregate spend 40 to 70 percent versus uniform Opus use.
If your prompts repeat a large stable block, a long system prompt, a policy document, a code base, you are paying full price to send it again and again. Prompt caching lets Claude reuse that block and charges a fraction for the cached portion, up to 90 percent off the repeated input. The guide explains how to structure context so the cache actually hits.
Work that does not need an answer in the next second belongs on the batch path, which runs at half the price. Overnight enrichment, evaluation runs, back catalog processing, and most analytics jobs qualify. The guide covers how to size batch jobs and which workloads to move first.
Applied together and in the right order, these levers let you size your Anthropic commitment to an efficient workload. That is worth far more than the discount, because it compounds every month of the term.
This guide is the pillar for our token optimization writing. Once you have read it, the blog goes deeper on individual levers, and our services page explains how we apply all of this inside a live negotiation.
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