OpenAI and Anthropic cut prices on some models by up to 80%
What happened
A Hacker News front-page post on October 26 reports that OpenAI and Anthropic cut prices on some large language models by up to 80% within a few months. The post lists competitive pressure and better inference efficiency as possible causes but does not confirm them. It notes that cache reads account for 96% to 99% of tokens used by coding agents, so cheaper cache reads strongly affect real usage cost. The model family behind GPT-6.1 Sol is said to have seen cumulative usage costs fall about 75%.
Written by AI from the coverage · updated 1 hour ago
Coverage
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- Hacker News front pagePickWhy OpenAI and Anthropic cut LLM prices by up to 80% in a few months
OpenAI and Anthropic cut prices on some models by up to 80% within a few months, and the piece lists competitive pressure and better inference efficiency as likely causes. The author notes that cache reads make up 96% to 99% of total token use for coding agents, so cheaper cache reads move real usage costs a lot; cumulative cost for the model family behind GPT-6.1 Sol fell about 75%.
Heat over time
Not enough continuous observations to draw a trend yet.