Token cost reduction that holds up: cheaper models for routine steps, cached context kept, hidden reasoning watched, and rework counted.
By Avik Ghosh, Managing Founder, illuminis
Forcing everyone onto the cheapest model often raises total spend. The hard tasks take three or four attempts, and people spend hours fixing the answers. Token cost optimization only pays when it counts that rework.
CompletionPrism™ reduces token spend and rework together. Before every step it prices what the task will cost to finish on every approved model, across Anthropic, OpenAI, Google and xAI, and runs it on the one that finishes it for least. Every call is billed to your own provider account, so the token cost reduction is on an invoice you can check.