Why token pricing metrics mislead AI cost comparisons

A developer argues that comparing AI models solely on price-per-million-tokens obscures real costs, since token efficiency varies wildly between models. For indie builders evaluating which LLM to use, focusing on $/token alone misses crucial factors like output quality, error rates, and actual spend per task.