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AI · 2h ago

Why per-token pricing misleads AI cost comparisons

By Meridian48 News Desk · Summarised from Hacker News ·

Jan Ilowski argues that comparing AI model costs per million tokens ignores crucial factors like output structure and caching. He shows that models with higher per-token prices can be cheaper for real tasks due to shorter outputs. Developers should evaluate total cost per task, not just token rates.

Meridian48 take
The piece rightly calls out a common oversimplification, but the real challenge is that task-level benchmarking is harder to standardize than token counts.
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Price per 1M tokens is meaningless →
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