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Codex pricing to align with API token usage, instead of per-message

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Re: Codex pricing to align with API token usage, instead of per-message

#21

For 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.

We are exiting a hype cycle, well into the adoption curve. Subscriptions were never going to last.

My next step is going to be evaluating open and local models to see if they are sufficiently close to par with frontier models.

My hope is that the end of seat based pricing comes with this tech cycle. I was looking for document signing provider that doesn't charge a monthly, I only need a few docs a year.

Re: Codex pricing to align with API token usage, instead of per-message

#22

The 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

Re: Codex pricing to align with API token usage, instead of per-message

#26

Sounds 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.

Literally every VC funded consumer product has switched from a "growth at all costs" phase to a "Now we hike prices, make money, and generally enshittify" phase, and tons of those companies are still around (e.g. Uber), so I'm not sure why anyone thinks it would be much different for AI.

Re: Codex pricing to align with API token usage, instead of per-message

#30

Sounds 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.

Literally every VC funded consumer product has switched from a "growth at all costs" phase to a "Now we hike prices, make money, and generally enshittify" phase, and tons of those companies are still around (e.g. Uber), so I'm not sure why anyone thinks it would be much different for AI.

yes, but how many succeed without any kind of moat or having destroyed the existing companies?

I'm still running local LLMs and finding perfectly acceptable code gen.

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