Hacker News·5 min read·hard
Price per 1M tokens is meaningless
J
janilowski✦AI Summary
The article argues that comparing AI models based on price per million tokens is misleading due to inconsistent tokenization methods across labs. It suggests that hidden costs like 'chain of thought' processing are more significant factors in actual AI expenditure.
It stops being all about the vibes when the API bill hits you. Many companies are now discovering that AI can indeed be pricey. One habit that might be driving up your AI bill is comparing models by $X per 1M tokens . A lower number should mean lower costs, right? Well, not really.
technologybusiness
✦
Get the full story
Sign up for Headlinne to unlock AI insights, political bias analysis, and your personalized news feed.
Create free accountAlready have an account? Sign in