Managing a token budget? Think efficiency, not intelligence
Cost per task, not cost per token. Here's why your token budget math is probably wrong.
Why it matters
Practitioners managing API costs need to optimize at the task level, not the model level. This shifts focus from model selection to prompt engineering and system design—where most efficiency gains actually hide.
The key facts
8 to knowMetric shift: cost per task replaces cost per token as the meaningful efficiency measure
Model selection alone is insufficient for cost optimization
Prompt engineering and system harness design are primary cost levers
Source: Writer.com (vendor perspective on token economics)
New efficiency metric: cost per task (not price per token)
Best model for the job often unclear without testing
Largest savings typically available in prompt harness layer, not model choice
Published by Writer (vendor perspective on tokenomics)
Go to the source
Writer Blogwriter.com
Publisher excerpt: The new metric for AI efficiency isn’t price per token on your model, but cost per task. This gets tricky, as the best model for the job isn’t always apparent. The best solution for most business users, focus on the harness first, where big savings are usually available.