Measure AI by Useful Intelligence per Dollar
💡Token price can mislead—this framework shows how to compare models by completed, high-quality work.
⚡ 30-Second TL;DR
What Changed
The proposed metric is useful intelligence delivered per dollar spent.
Why It Matters
This framework could change how teams select models and justify AI budgets, especially for agentic workflows where retries and human review affect total cost. It encourages buyers to optimize for business outcomes rather than token price or raw usage volume.
What To Do Next
Instrument your evaluation pipeline to record retries, human interventions, quality scores, and total spend, then compare models by cost per successful task.
Key Points
- •The proposed metric is useful intelligence delivered per dollar spent.
- •Evaluation should prioritize completed work and quality instead of adoption metrics alone.
- •Cost per successful task captures the trade-off between repeated low-cost inference and higher-cost one-shot completion.
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Original source: ITmedia AI+ (日本) ↗
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