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GPT-5.2 and GPT-5.2-Codex are now 40% faster

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Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#22
It was probably from the other day when roon realized that normal people have it slower than staff.

Then from that they realized they could just run API calls more like staff, fast, not at capacity.

Then they leave the billion other people's calls at remaining capacity.

https://thezvi.substack.com/i/185423735/choose-your-fighter

> Ohqay: Do you get faster speeds on your work account?

> roon: yea it’s super fast bc im sure we’re not running internal deployment at full load

Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#23

OpenAI in my estimation has the habit of dropping a model's quality after its introduction. I definitely recall the web ChatGPT 5.2 being a lot better when it was introduced. A week or two later, its quality suddenly dropped. The initial high looked to be to throw off journalists and benchmarks. As such, nothing that OpenAI says in terms of model speed can be trusted. All they have to do is lower the reasoning effort…

It's good to be skeptical, but I'm happy to share that we don't pull shenanigans like this. We actually take quite a bit of care to report evals fairly, keep API model behavior constant, and track down reports of degraded performance in case we've accidentally introduced bugs. If we were degrading model behavior, it would be pretty easy to catch us with evals against our API. In this particular case, I'm happy to rep…

Starting off the ChatGPT Plus web users with the Pro model, then later swapping it for the Standard model -- would meet the claims of model behavior consistency, while still qualifying as shenanigans.

Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#24

OpenAI in my estimation has the habit of dropping a model's quality after its introduction. I definitely recall the web ChatGPT 5.2 being a lot better when it was introduced. A week or two later, its quality suddenly dropped. The initial high looked to be to throw off journalists and benchmarks. As such, nothing that OpenAI says in terms of model speed can be trusted. All they have to do is lower the reasoning effort…

It's good to be skeptical, but I'm happy to share that we don't pull shenanigans like this. We actually take quite a bit of care to report evals fairly, keep API model behavior constant, and track down reports of degraded performance in case we've accidentally introduced bugs. If we were degrading model behavior, it would be pretty easy to catch us with evals against our API. In this particular case, I'm happy to rep…

so what actually happens if it isnt shenanigans?

its worth you guys doing on your end, some analysis of why customers are getting worse results a week or two later, and putting out some guidelines about what context is poisonous and the like

Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#25

Earlier quoted context omitted.

Try Claude and you can get x^2 performance. OpenAI is sweating

5.2-codex is pretty solid and you get dramatically higher usage rates with cheap plans. I would assume API use is much cheaper as well.

people are sleeping on openai right now but codex 5.2 xhigh is at least as good as opus and you get a TON more usage out of the OpenAI $20/mo plan than Claude's $20/mo plan. I'm always hitting the 5 hour quota with Opus but never have with Codex. Codex tool itself is not quite as good but close.

Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#27

OpenAI in my estimation has the habit of dropping a model's quality after its introduction. I definitely recall the web ChatGPT 5.2 being a lot better when it was introduced. A week or two later, its quality suddenly dropped. The initial high looked to be to throw off journalists and benchmarks. As such, nothing that OpenAI says in terms of model speed can be trusted. All they have to do is lower the reasoning effort…

It's good to be skeptical, but I'm happy to share that we don't pull shenanigans like this. We actually take quite a bit of care to report evals fairly, keep API model behavior constant, and track down reports of degraded performance in case we've accidentally introduced bugs. If we were degrading model behavior, it would be pretty easy to catch us with evals against our API. In this particular case, I'm happy to rep…

I've seen Sam Altman make similar claims in interviews, and I now interpret every statement from an Open AI employee (and especially Sam) as if an Aes Sedai had said it.

I.e.: "keep API model behavior constant" says nothing about the consumer ChatGPT web app, mobile apps, third-party integrations, etc.

Similarly, it might mean very specifically that a "certain model timestamp" remains constant but the generic "-latest" or whatever model name auto-updates "for your convenience" to the new faster performance achieved through quantisation or reduced thinking time.

You might be telling the full, unvarnished truth, but after many similar claims from OpenAI that turned out to be only technically true, I remain sceptical.

Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#28
post #20

Earlier quoted context omitted.

It's good to be skeptical, but I'm happy to share that we don't pull shenanigans like this. We actually take quite a bit of care to report evals fairly, keep API model behavior constant, and track down reports of degraded performance in case we've accidentally introduced bugs. If we were degrading model behavior, it would be pretty easy to catch us with evals against our API. In this particular case, I'm happy to rep…

It looks like you do pull shenanigans like these [0]. The person you're replying to even mentioned "ChatGPT 5.2", but you're specifically talking only about the API, while making it sound like it applies across the board. Also appreciate the attempt to further hide this degradation of the product they paid for from users by blocking the prompt used to figure this out. Happy to retract if you can state [0] is false. […

Would love a direct response to this.

Re: GPT-5.2 and GPT-5.2-Codex are now 40% faster

#29

This is great. In the past month, OpenAI has released for codex users: - subagents support - a better multi agent interface (codex app) - 40% faster inference No joke, with the first two my productivity is already up like 3x. I am so stoked to try this out.

How do you get sub agents to work?
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