Earlier quoted context omitted.
Usage meter has always been completely opaque anyway. They could (and probably did) shrink the limit whenever they like.
It is a bit insidious that the price hike coincide with the end of 2x promotion, which makes the usage change a bit more obscure.
Codex pricing to align with API token usage, instead of per-message
111–120 of 212 posts
Re: Codex pricing to align with API token usage, instead of per-message
#112The days of subsidized access is rapidly coming to an end.
Although I have to say I am sometimes surprised how much people burn through their usage. I was briefly on a Claude Max plan and then switched to a pro plan and still almost never hit my limit.
Re: Codex pricing to align with API token usage, instead of per-message
#113The title is misleading and not in the article. This change is for business/enterprise accounts. Also, these are still credit based. The change is that credits now operate on tokens like the API rather than on messages as they used to.
Nope, they buried the lead a bit but this is coming for _all_ users, even pro/plus subscription plans. So you get chatgpt pro/plus benefits, and then effectively $20/$200 in credits for codex
That's not true.
First of all, there's no dollar amount tied to how many credits you get for a subscription.
Second, if you look at the prices for bundles of _extra_ credits and then do some math on the Codex rate card, you'll see that there's no way they would work out to be the same or similar.
Re: Codex pricing to align with API token usage, instead of per-message
#114Re: Codex pricing to align with API token usage, instead of per-message
#115Re: Codex pricing to align with API token usage, instead of per-message
#116For the past month, I've been claiming that $20/mo codex is the best deal in AI. Now I'm going to have to find the new best deal.
Re: Codex pricing to align with API token usage, instead of per-message
#117Sounds like a death knell to me. If I recall correctly, Ed Zitron noted in a recent article that one of the horsemen of his AI-pocalypse would be price hikes from providers.
Every time an Ed Zitron article is posted on HN, it is met with a torrent of vitriol and personal attacks. The articles are okay if not overly wordy but I don’t see how the subject matter elicits that strong of a response. At any rate, this observation is not unique to Ed, lots of people have made the same conclusion that the math doesn’t add up from a business profitability perspective.
[I'm an AI-doomer myself, but I am an AI-doomer because by and large this stuff increasingly works, not because it doesn't.]
That said, Ed Zitron still does a lot of useful research into the economics of the industry and I also believe that continued progress in AI can disrupt the world (for better and for worse) while the economics propping up all the frontier model providers can also implode spectacularly.
Some people talk about how AI doom comes about either way because it could take all of our jobs OR crash the economy when the current bubble bursts. But as an uber-AI-doomer I happen to think there is a very real possibility of a double downside (for the labor class, at least) where both of those things can happen at the same time!
Re: Codex pricing to align with API token usage, instead of per-message
#118Any takes on how Codex compares to Claude? I mostly use it to run ahead, document, investigate and prep the actual implementation for Claude. Gemini burned me too many times but maybe the situation has improved since.
gpt-5.4 is unmatched. Claude is possibly better in web UI tasks, but not much else.
Re: Codex pricing to align with API token usage, instead of per-message
#119Sounds like a death knell to me. If I recall correctly, Ed Zitron noted in a recent article that one of the horsemen of his AI-pocalypse would be price hikes from providers.
Re: Codex pricing to align with API token usage, instead of per-message
#120this is indicative to me that the exponential is slowing down. tool and model progress was huge in 2025 but has been pretty stale this year. the usage changes from anthropic, gemini, and openai indicate it's just a scale of economy issue now so unless there's a major breakthrough they're just going to settle down as vendors of their own particular similar flavor of apis.