Show HN: A tool to optimize AI model cost without benchmark score trade-offs

Hacker News Show2026-11-03 20:380 views

I created this page to apply data envelopment analysis to find the Pareto frontier of cost and benchmark scores. The goal is to identify the cheapest model or a theoretical blend of models applied to tasks that meets the same benchmark scores as your selected model. This is based on a 2022 paper I coauthored. Benchmark sources include Artificial Analysis, ToneBench, Hermes3000 and Slidely, from September–October 2026.

Comments URL: https://news.ycombinator.com/item?id=50351277

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Source：https://jeff-kline.github.io/posts/same-ai-results-for-less/index.html

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