Amazon Bedrock: Why Cost per Correct Answer Beats Price per Token for OpenAI Models

It is the total amount you pay divided by the number of genuinely correct responses, factoring in retries, self-correction, and tool calls, rather than the sticker price per million tokens.

Standard comparisons report price and accuracy separately on public datasets. This harness measures the end-to-end outcome on your own enterprise tasks, including agent trajectory, tool cost, and deliverable quality.

Yes, arguably more so. Many regional workloads are Arabic or bilingual, where accuracy and retry rates diverge from English benchmarks, making local measurement essential rather than optional.

No, but price should be contextualized. It is one input alongside retry counts, context size, tool invocations, and final output quality.