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GPT-5.4

openai.com

81–90 of 868 posts

Re: GPT-5.4

#82
post #69

These releases are lacking something. Yes, they optimised for benchmarks, but it’s just not all that impressive anymore. It is time for a product, not for a marginally improved model.

That's for you to build; they provide the brains. Do you really want one company to build everything? There wouldn't be a software industry to speak of if that happened.

Re: GPT-5.4

#83

What is the point of gpt codex?

-codex variant models in earlier version were just fine tuned for coding work, and had a little better performance for related tool calling and maybe instruction calling.

in 5.4 it looks like the just collapsed that capability into the single frontier family model

Re: GPT-5.4

#84
The "RPG Game" example on the blogpost is one of the most impressive demo's of autonomous engineering I've seen.

It's very similar to "Battle Brothers", and the fact that RPG games require art assets, AI for enemy moves, and a host of other logical systems makes it all the more impressive.

Re: GPT-5.4

#85
Even with the 1m context window, it looks like these models drop off significantly at about 256k. Hopefully improving that is a high priority for 2026.

Re: GPT-5.4

#86
post #15

If you don't want to click in, easy comparison with other 2 frontier models - https://x.com/OpenAI/status/2029620619743219811?s=20

It seems that all frontier models are basically roughly even at this point. One may be slightly better for certain things but in general I think we are approaching a real level playing field field in terms of ability.

Kind of reinforces that a model is not a moat. Products, not models, are what's going to determine who gets to stay in business or not.

Re: GPT-5.4

#87
post #61
post #43

$30/M Input and $180/M Output Tokens is nuts. Ridiculous expensive for not that great bump on intelligence when compared to other models.

Gemini 3.1 Pro $2/M Input Tokens $15/M Output Tokens Claude Opus 4.6 $5/M Input Tokens $25/M Output Tokens

Just to clarify,the pricing above is for GPT-5.4 Pro. For standard here is the pricing:

$2.5/M Input Tokens $15/M Output Tokens

Re: GPT-5.4

#88

The marquee feature is obviously the 1M context window, compared to the ~200k other models support with maybe an extra cost for generations beyond >200k tokens. Per the pricing page, there is no additional cost for tokens beyond 200k: https://openai.com/api/pricing/ Also per pricing, GPT-5.4 ($2.50/M input, $15/M output) is much cheaper than Opus 4.6 ($5/M input, $25/M output) and Opus has a penalty for its beta >200…

Yeah, long context vs compaction is always an interesting tradeoff. More information isn't always better for LLMs, as each token adds distraction, cost, and latency. There's no single optimum for all use cases. For Codex, we're making 1M context experimentally available, but we're not making it the default experience for everyone, as from our testing we think that shorter context plus compaction works best for most p…

Do you maybe want to give us users some hints on what to compact and throw away? In codex CLI maybe you can create a visual tool that I can see and quickly check mark things I want to discard.

Sometimes I’m exploring some topic and that exploration is not useful but only the summary.

Also, you could use the best guess and cli could tell me that this is what it wants to compact and I can tweak its suggestion in natural language.

Context is going to be super important because it is the primary constraint. It would be nice to have serious granular support.

Re: GPT-5.4

#89
post #55

Earlier quoted context omitted.

Frontier Math, GPQA Diamond, and Browsecomp are the benchmarks I noticed this on.

Are you may be comparing the pro model to the non pro model with thinking? Granted it’s a bit confusing but the pro model is 10 times more expensive and probably much larger as well.

Ah yes, okay that makes more sense!

Re: GPT-5.4

#90

can anyone compare the $200/mo codex usage limits with the $200/mo claude usage limits? It’s extremely difficult to get a feel for whether switching between the two is going to result in hitting limits more or less often, and it’s difficult to find discussion online about this. In practice, if I buy $200/mo codex, can I basically run 3 codex instances simultaneously in tmux, like I can with claude code pro max, all d…

My own experience is that I get far far more usage (and better quality code, too) from codex. I downgrade my Claude Max to Claude Pro (the $20 plan) and now using codex with Pro plan exclusively for everything.
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