back in the day paying 200 usd to openai meant unlimited chats etc, when codex launched it was pretty much also infinite unless you used 100 subagents on each thing
now? i dont even use subagents, my highest thinking level is high and it lasts 3 days of work
3 days (a week) of work for 200$, or 12 days a month
this is not acceptable for the highest avaliable plan
Hey there!
i was recently asking about whether should i choose iced or slint and made the decision to use iced and make a "fun layer" (with things that i like from slint like MCP etc.) but ive got a question,
while iced is more popular than slint, it seems to me like its mostly linux (because of cosmic/system76) so what about windows? should i even care about it?
Hey, im looking towards migrating my app from python (pyqt) to rust, and the issue is that i don't really know which framework to use, gpui seems like a natural choice buuut its still pre 1.0 and heavily tied with ZED, slint on the other hand is a bit older (a bit because its still not as old as electron and others lol) but simply said its not gpui who everyone seems to love and ramble about
what should i do?
my main goals
- lower cpu and ram usage (tier 1 priority)
- harder reverse engineering (t1)
- visible performance (as in "holy shit thats fluid as hell") (t1/t2)
- easy figma use (t2)
- MultiOS (windows mainly but also macos/linux) (tier 2 priority)
- lower disk footprint (tier 2/3 priority)
- codex browser maybe? i know its not js but still would be cool to use annotate tool for better frontend (t3+)
note: leo is probably the most trusted leaker for openAI models there is, thats why im posting this here
Recently i've started migrating from pyqt to other frameworks, my first pick was tauri because on paper it looks like the best framework for someone who wants a windows only app and doesnt care about linux/macOS compat. But after working on tauri version for some time, i challenged it and created a benchmark comparing pretty much same app in tauri and electron
You'd think that electron lost? Yes, on one of 7 things i measured - disk space (obviously lol)
but other than that? electron showed lower active and idle ram usage (wild!), lower cpu usage, especially with minimized app
what am i doing wrong? because its gotta be something for fuckin electron to win right?
No more banked res*ts, you get credits instead. remember to turn off auto recharge or you will get billed after emptying credits
going by openAI's credits pricing, 250 credits is about 1-10 prompts with GPT 5.6
if you love plan mode's questions, this one line will allow codex to ask them without plan mode itself during normal coding
I gave both Opus 5 and Sol same somewhat hard task, with same agents/claude.md's and other rules so that i could count out anything impacting usage
The goal was to create a perfect recreation of my python qt app's UI and UX in react, down to how anchored popups are, it took some time but the results are in
Starting with sol, it's implementation was good, not bad but also not really good or 1:1 like i asked, it would probably require more hours put into it. Code quality was similar but also a little better imo than opus, but thats about it and its not really a big edge. It took 40% of weekly usage
Opus 5 took less time, was way faster (not cerebras fast but still), it's UI was more complete than Sol's implementation and here's the kicker: It took about 95% of 5h limit (in total, as it rolled through 5h reset) which is about 10-15% weekly
15% vs 40% is not a small difference specially when you (and by you i mean openAI) advertise that your models are ultra token efficient compared to other companies
That being said, i think opus 5 might be the real deal, not only is it cheaper in api pricing but also in real usage which is crazy coming from anthropic
Hello everyone, i have been a little fed up recently with codex usage limits. I would say it all started probably after 5.6 release OR after removing 5h limits. Recently i downgraded to Plus plan because i could do that for free after my pro plan ended so i did, the limits were kinda bad, but to be honest with you and openai - thats what you get for 20$/mo plan so i wasn't really annoyed. And so i upgraded again to pro 5x it was good!.... for the first 2 days after which i depleted my weekly limit
also not openAIs fault (at least not 100% of it) i used a /goal to basically recreate my python qt apps UI and UI functionality in react so that i could improve UI faster with codex browser annotate
it took over 17h and 16 million token but it finished... and left me at 4% weekly usage until tuesday
which got me thinking, "hmm, 16 million tokens weekly tokens is not really that much compared to what i used before with gpt 5.5/5.4's 5-10 million A DAY WITH 5 H LIMITS ENABLED"
so i started checking everything, maybe my agents.md was too big? nope
maybe i used too high reasoning? nah i used high, not even xhigh
subagents? never use them manually
So i downloaded ccusage to compare api pricing usage and tokens themselves, i was most interested about may because that was when we had the 5x is 10x promotion and june because thats when it finished.
Here's what i found
may:
As expected very high token usage, pretty much gpt 5.5 only 2.6 - 14.7m tokens used daily, and remember - we did not have banked resets back then or removed 5h limits.
June:
In june i used gpt 5.5 pretty much the same as today, about 1.5-8m tokens on a good day and as we can see the usage limits were cut MORE than 50% (which is whats supposed to happen when going from 10x to 5x lmao) and remember, there are also 5h limits
And here's july:
And i wanna focus not on the usage tokens themselves but on a funny thing i noticed, in pink i marked 100% of usage, when i used a plus plan, about 4/4.5mtok - no resets used there because i already used them all by then, and in yellow there is when i upgraded to pro 5x plan (don't care about codex spark, it was only used to check if it works lol) it also was maxed out after running a goal.
4 million tokens vs 16 million tokens is not 5x, its 4x
But as much as im confident in weekly limits being slightly higher 5h limits from june/may, in this one im not so sure so someone would have to double check me.
the main issue is that our "weekly limits" are just slightly expanded 5h limits from june/may because openAI does not have enough capactity for all codex users
as much as i like tibo, the corporation is not your friend, please remember that
inb4 sol is not as token efficient as gpt 5.5 - True, but with gpt 5.5 i always used xhigh, with sol i always use medium/high because it shreds limits.
Update: I checked the local Codex quota logs
I analyzed the local Codex rollout logs stored on my machine. They contain snapshots for both the former 300-minute limit and the 10080-minute weekly limit, which makes it possible to partially reconstruct how the old quota system worked.
The clearest historical result comes from June, before the 5-hour limit was removed:
median former 5-hour allowance: approximately 1,665 weighted credits
median former weekly allowance: approximately 9,791 weighted credits
former weekly allowance: approximately 5.88 former 5-hour allowances
So the old system already had a weekly ceiling running alongside the renewable 5-hour limit. That weekly ceiling was equivalent to roughly six full 5-hour windows.
The current weekly-only allowance is harder to measure reliably from historical logs. Different Codex sessions contain overlapping or slightly different reset boundaries, so local token usage cannot always be assigned cleanly to one account-wide weekly bucket.
A stricter reconstruction is consistent with the current weekly-only allowance being roughly one to two former 5-hour allowances, and potentially only around a quarter of the former weekly allowance. However, the current-weekly estimates are too unstable to claim an exact ratio from the historical data alone.
So the most defensible conclusion is:
The current weekly-only limit appears much closer to a slightly expanded former 5-hour allowance than to a full week of the previous renewable limits.
The logs also suggest that the weekly ceiling may have been substantially reduced when the 5-hour limit was removed, but a controlled measurement immediately after a weekly reset is needed to establish the exact size.
This would require using one machine and one Codex session while recording every quota-percentage and token-counter change from 100% downward.
Im currently having a tougher time in life, before i was using pro 20x and 5x for a few months, this month i couldn't pay for the sub (to use codex etc.) and my plan renewal failed but after going on the website, i noticed a free offer and after clicking it said that openAI wants to gift me a free month of plus plan on their tab - completely for free.
This means a lot, thank you.
I know this may not impact a lot of users but those who used grok/grok build at any point in time after grok's 4.5 release, your entire codebase including all secrets have been sent to xAI's servers.
If you did use it, this command will tell you what exactly was sent
cat ~/.grok/logs/unified.jsonl | grep repo_state.upload
RIP to all affected, idek why you would do that but im just posting this "just in case"
and inb4 openai does the same: Both oAI and Anthropic have safety filters that DO NOT send your env for training/analysis though code/prompts may have been sent on cheaper plans (free/go/plus)
Politico says that fable export ban is ending tonight, im just wondering whether that helps gpt sol OR even a double release - that would be legendary
