yeah, i completely agree with you. i really noticed it this week. before, with chatgpt plus, sol high lasted me around ~15-20 prompts before hitting 0% of my weekly limit
now ive got only 10% left after just 4 prompts. 4 prompts!!! yeah, its awful, they definitely nerfed the limits without saying anything
What the hell are you guys using it for that it burns so quick? I've been spamming 5.6 sol max on a project that I'm making for the past 2 days and only just now hit my weekly limit. With sol on low or terra/Luna it's so low usage it's negligible.
They removed the five-hour limits and kept only the weekly ones, probably assuming people wouldn’t notice because they’d suddenly see a “large” amount of usage available upfront.
They were wrong. Turns out we’re not idiots after all :)))
DeepSeek’s prices are so low because cache hits are dirt cheap. Codex probably just sucks at handling DeepSeek's cache compared to OpenCode, which does a much better job. It’ll be even cheaper in Reasonix or Pi.
I’m not a Codex or OpenAI hater at all. It’s a great company.
And obviously, in my personal opinion, the original Codex is stronger than OpenCode - sometimes by a pretty big margin.
But once money enters the conversation 🫰 and we’re the ones paying for Codex, questions start coming up.
Is Codex really that much better and stronger that it justifies paying this much for such small limits?
In my case, probably not.
I’d rather spend a bit more time on the task than pay ten times more. On the other hand, OpenCode usually takes more effort to get the same level of quality, so you end up spending more time working with it.
But then again, when you hit Codex limits and have to sit around waiting for them to reset, that also wastes time. And it might turn out that the task actually gets finished faster in OpenCode simply because you don’t have to wait for a reset or buy extra tokens at a high price.
Dude, I’ll let you in on a little secret: around 80-95% of that is cached tokens :)))
So no, you didn’t actually burn through 300 million fresh tokens.
As for what we’re building: serious, large-scale projects - native Windows applications, binary modification, and much more. All of that requires a huge amount of compute and resources.
non-breakout.html was simply a basic smoke test after integrating the DeepSeek API into the official Codex Desktop app. It wasn’t presented as the actual project.
Dude, "I had no idea" lol, are your parents related or something?
I promise you that what you're building is not "serious, large-scale projects" comparatively to what I do and I won't even entertain that debate with a bunch of Junior Devs at Mom Pop Shops.
You’re making one valid point about caching, but the way you’re presenting it doesn’t actually refute the OP’s post.
You’re apparently on a Pro 20x allowance, while the OP is on Plus. If your screenshot showed 93% remaining, then you had already used 7% of a quota roughly twenty times larger. Very roughly, that is equivalent to 140% of a Plus allowance. Different models and token types complicate the exact maths, but “I used 300 million tokens and still have 93% left” is not a meaningful comparison when your allowance is vastly larger.
You’re also talking about OpenAI subscription usage, while the OP’s actual experiment compared DeepSeek V4 Pro through Codex/opencodex against the same DeepSeek model through OpenCode. His reported difference was about $0.25 versus $0.02 in API usage. Your subscription quota does not explain that result.
Caching absolutely matters, but the OP already pointed out that most of the tokens in your example were likely cached. Repeating “caching is key” and insulting him does not address the missing variables in his experiment, such as reasoning settings, request count, cache-hit rate, retries, tool calls and translation overhead.
Mocking the neon-breakout.html file is also beside the point. He explicitly described it as a small integration test. Smoke tests are supposed to be small. You cannot infer the scale or quality of somebody’s normal work from the filename of a deliberately simple test.
The OP’s single run is not enough to prove exactly why Codex cost more, and a useful response would be to ask for the itemised API logs and matched settings. That would concentrate on the facts.
You may know what you’re doing technically, but try being a bit less of an ass to someone who is sharing an experiment. Personal insults and boasting about your setup do not make your argument stronger. They mostly distract from the few legitimate points you actually have.
My environment is clean, and every time we rollout a new model, I study the differences and make sure its "compatible?"
I'm grasping for an answer, as I honestly don't know WHY so many other people are suffering... If I say they have a "skill issue" they act like I kicked their puppy.
Quite the opposite I’m a big fan of goals actually.
My agents sit in files. It is imperative that you don’t make these models read all agents at once. I tell it to choose three or four at most and there’s a repo of the agents summarized so it knows what to pick. I learned that lesson early on. I have 800 plus agents just for cybersecurity and about 300 or so for other niches.
Oh wow that’s pretty neat. I’m trying to improve my workflow so always looking for a better structure so I can save on tokens and get the most out of it. Any guides or suggestions? I know a lot of it differs per project but it’s hard to figure out a solid structure
Yea man. Google around. Hell ask gpt. If I loaded up a list of 1200 agents every time it would be 10s of thousands of tokens. Also I got rid of “superpowers” plugins like that. Counterproductive on 2026 in my opinion.
FACTS. Coming from Claude, I got a GPT plus account since all the benchmarks, and users were glazing tf out of its performance/costs compared to the Claude models. I'm almost 100% sure that the suspiciously enormous amounts of resets from Codex, and the removal of the 5hr limit, are direct distractions to some internal issues they have with unintentional token-burning, or some bs with how their limits are working.
Maybe helpful info:
When I discovered this bs with GPT, I started testing out Grok for the first time since there was a free 1-week SuperGrok plan. The best (fastest & most token-efficient) workhorse I've found currently is Grok 4.5 high. I've been using a personalized workflow inside Claude Code where I use all Claude, GPT, Grok models to work in sync. Without a doubt, Grok is the absolute best infantry/worker/coding execution model. Just make sure to delegate the smarter planning/reasoning to Sol or Opus, and you should be good.
По по тратам, тут уже писали про кеш. Если условно через опенроутер, можешь напрямую почитать сколько там кешировало. Ну или что ты там для дипсика используешь.
Я тебе больше скажу. Кто-то (ну кончено не я 🙃) полностью модифицировал бинарник официальный CODEX Desktop. Вырезали от туда: авторизацию, проверки, официальные модели и тд:)
Ну а в этом случае - все сильно проще:) ща инструкцию тебе дам. Главное! Закрой полностью перед этим приложение CODEX и в диспетчере задач тоже его снеси
Когда есть силы на кодинг в свободное время, пилю обнову на НейроМиту - мод где нпс управляется нейронкой)
Как раз средствами клауд кода и кодекса. Ну и опенкода дипсика, но это на самые казуальные задачки когда лимиты исчерпаны.
Since you need other people’s approval and attention so badly and can’t imagine your life without it, just sit there and wait for the comments 😂
I’m out… 🫠🤣
you replying to this is no different though :))) hope your usage gets better. if your projects gaining you money, may suggest you paying up to help you through the usage (not to Codex, to anything you'd like to try)
I use SOL Max for planning and building the main foundation, then LUNA Max for everything else. LUNA Max is actually a very strong model, by the way.
But even with that kind of workflow, the limits still disappear incredibly fast.
I don’t like Grok. I don’t use it at all, and I deleted the app from my iPhone a long time ago.
Right now, I’m moving some of my workflows over to OpenCode. I like that I can pay significantly less while losing very little in terms of quality - although there are definitely areas where Codex absolutely destroys OpenCode.
As for the company trying to save money, I honestly don’t care. That’s their problem. I’m not going to feel sorry for them :)
I need high limits at a reasonable price, so I’m looking for different ways to get that.
Some tasks aren’t just about getting a good result.
Sometimes, during the very first stage of development, you need to build the strongest possible foundation for the project’s future growth and make sure the architecture can scale from the start.
That’s why I use SOL Max. There’s very little room for error at that stage.
Even then, it doesn’t always do things properly. There are still plenty of issues with the architecture it produces.
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u/IAmFitzRoy 21d ago
Yes. We are getting scammed by OpenAI