Stop Counting Tokens—Measure What Actually Matters for Your ML Workloads
Picking an OpenAI model on Amazon Bedrock based on price per token alone? That's missing the real cost: correct answers and quality outcomes. This article drops an open-source benchmarking tool that measures cost per correct answer, agent trajectory expenses, and deliverable quality across OpenAI models.
source: [aws/machine-learning-blog]