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Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking harness that measures cost per correct answer, agent trajectory cost, and rubric-graded deliverable quality across OpenAI models on Amazon Bedrock.

Read the full story at AWS Machine Learning Blog ↗

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  1. 2026-09-11 18:24 · AWS Machine Learning Blog
    Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

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