91–100 of 262 posts
Does this give you something different than the $20/mo plan when using codex?
Same for the $200 plan, it's still 2x its normal usage until that date.
Very good move. In my experience, for system programming at least, GPT 5.4 xhigh is vastly superior to Claude Opus 4.6 max effort. I ran many brutal tests, including reconstructing for QEMU the SCSI controller (not longer accessible) of a SVSY UNIX of the early 90s used in a 386. Side by side, always re-mirroring the source trees each time one did a breakthrough in the implementation. Well, GPT 5.4 single handed did…
Any idea way "5x or 20x more usage" means?
With this new VIP membership that comes with 5x or 20x usage, if you spend $100 you get 5x. $200 you get 20x and you get to spin the wheel and use the slot machines unlimited times even at peak hours more than most without any restrictions, 24/7, no waiting for hours with priority.
So spend more to get more abundance and more simultaneous spins at the wheel.
Except if you're trying to abuse the slot machines themselves or sharing or reselling your membership to other customers who want a spin at the roulette wheel; but were previously banned. [0]
[0] https://help.openai.com/en/articles/9793128-about-chatgpt-pr...
5.4, in my own testing, was almost always ahead of Opus 4.6 for reviews and planning. I'm on plus plan on openai, so I couldn't test it so deeply. Anyone who had more experience on both could perhaps chime in? Pros/cons compared to Opus? I'm invested in Claude ecosystem but the recent quality and session limits decrease have me on the edge.
My guess is that 5.5 will come out soon and be significantly better so you'd want to be using Codex then, but then when Opus 5 comes out probably back to claude code
Also 5.4 has fast mode, and higher usage limits since it's cheaper
That has me quite tempted. In general, I stay under the Plus limits, but I do watch my consumption. I could use `/fast` mode all of the time, with extra high reasoning, and use gpt-5.4-pro for especially complex tasks. It wasn't worth 10x the price to me before, but 5x is approachable.
Earlier quoted context omitted.
So curious that the cost in the comparison is just a flat $100, not "$100 or $200" and yet the usage has the "or". Surely just a lapse in copy editing.
Surely they weren't trying to be deceptive... surely.
Very good move. In my experience, for system programming at least, GPT 5.4 xhigh is vastly superior to Claude Opus 4.6 max effort. I ran many brutal tests, including reconstructing for QEMU the SCSI controller (not longer accessible) of a SVSY UNIX of the early 90s used in a 386. Side by side, always re-mirroring the source trees each time one did a breakthrough in the implementation. Well, GPT 5.4 single handed did…
+1 to this, I've found GPT/Codex models consistently stronger in engineering tasks (such as debugging complex, cross-systems issues, concurrency problems, etc). I use both OpenAI and Anthropic models, though for different purposes, what surprises me is how underrated GPT still feels (or, alternatively, how overhyped Anthropic models can be) given how capable it is in these scenarios. There also seems to be relatively…
I do turn to Anthropic for ideation and non-tech things. But I find little reason to use it over codex for engineering tasks. Sometimes for planning, but even there, 5.4 is more critical of my questionable ideas, and will often come up with simpler ways to do things (especially when prompted), which I appreciate.
And I don't do hard-tech things! I've chosen a b2b field where I can provide competent products for a niche that is underserved and where long term relationships matter, simply because I'm not some brilliant engineer who can completely reinvent how something is done. I'm not writing kernels or complex ML stacks. So I don't really understand what everyone is building where they don't see the limits of Opus. Maybe small greenfield projects with few users.
It really feels like LLMs will mostly become tools for tech workers rather than the kind of civilization-level transformation sama has been peddling. Every single comment here seems to confirm the above.
I wouldn't mistake this for any kind of capability plateau. There is a massive push towards making transformers the engine of humanoid (and other kinds of) robotics, we just haven't reached the hype moment for those yet.