Researchers often treat inference cost and latency as "engineering details" to be solved later, focusing only on accuracy. We argue that for applications like Deep Research or Coding Agents, "Economic Viability" (accuracy per dollar) is the primary research problem. A model that achieves SOTA but costs $10 per query has effectively zero real-world impact. evaluate models/agents under fixed budget and latency constraints, and rank them by accuracy-per-dollar
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{yi-efficiency-is-not-2026,
author = {Yi, Euiin},
title = {Efficiency is Not Just "Engineering": It’s the Only Metric That Matter},
year = {2026},
url = {https://hypogenic.ai/ideahub/idea/zJa4VUKZ3JpogEK2MjvS}
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