Without Benchmarking LLMs, You're Likely Overpaying 5-10x | Karl Lorey

This blog post explains how Karl Lorey helped a friend reduce his LLM API bill by 80% by benchmarking 100+ models on their actual task. They found cheaper alternatives that worked just as well, saving thousands of dollars. The post outlines the process of creating custom benchmarks, scoring responses with an LLM, and finding the optimal model based on quality, cost, and latency.