GPT-5.4
81–90 of 868 posts
Re: GPT-5.4
#82These 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.
Re: GPT-5.4
#83What is the point of gpt codex?
in 5.4 it looks like the just collapsed that capability into the single frontier family model
Re: GPT-5.4
#84It'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
#85Re: GPT-5.4
#86If 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.
Re: GPT-5.4
#87$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
$2.5/M Input Tokens $15/M Output Tokens
Re: GPT-5.4
#88The 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…
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
#89Earlier 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.
Re: GPT-5.4
#90can 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…