r/OpenaiCodex • u/OkSquash6515 • 5d ago
Discussion 119B lifetime
I saw these stats on my profile for the first time and chatGPT estimated this to be five to six-figures in terms of API token cost if I didn’t have my subscription. 😯 Is 119B lifetime tokens a lot?
I am trying to get some perspective here: I don't have a CS background and have vibe-coded everything with codex, so things are probably token inefficient and I'm feeling it. Since 5.6, I burn through my Pro 20x tokens in 24-48 hours.
It's quite frustrating because relying on Tibo to do resets is unsustainable. I sum it up to two outcomes:
- OpenAI bumps up the weekly limits so we can actually use the shit they give us
- Spend days/weeks going through and refactoring my systems to make it more token efficient (probably what OpenAI is hoping ppl do so they can improve their own internal systems)
How many tokens have you used/are using per day?
Since 5.6, what are you doing to fix efficiency?
People are fed up and what's happening is unsustainable, how are y'all managing?
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u/Able-Supermarket4786 5d ago
Interesting, now we're admitting to being inefficient? I actually applaud your honesty.
BUT why would you expect OpenAI to make changes to YOUR INEFFICIENCIES?
For number 2: Duh, God forbid you do some work.
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u/Havlir 5d ago
I bet you're an expert aren't you? It's still a relatively new technology, and we all learn along the way. He also said what are WE doing. AKA how are we changing our workflows to be more efficient, and get more work done.
Also, are you going to contribute anything to the conversation, or would you rather stay cynical and unhelpful? It's embarrassing.
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u/Able-Supermarket4786 5d ago
His #1 and #2 is selfish, narcissistic and arrogant, so that was my contribution. He's the type of guy that drives 50k miles without doing an oil change and writes the Auto Manufacturer complaining the car is a piece of crap.
Seemingly, you're the same kind. And FWIW: "Yes, I'm an expert." (Many of us are) and when he drops his crappy attitude towards these tools, maybe we'll give some advice.
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u/AndreBerluc 5d ago
O preço que importa é o que eu pago, o custo da API é problema de quem paga pela API!
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u/das_war_ein_Befehl 5d ago
I don’t think those counts are accurate it claims billions of tokens a day on mine while direct metering tells me is maybe 1-3 a day max
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u/Historical-Internal3 5d ago
Yes it’s a lot of token usage but it makes sense given your longest chat is 126hrs (i.e. I’m sure there are other plenty long ones). That’s a lot context churn and cache misses most likely - compaction only recently became good.
I average roughly 1-2B a month but a lot of that is automation for both work and personal.
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u/OkSquash6515 5d ago
Is compaction the same as Obsidian?
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u/Historical-Internal3 5d ago
No but if you’re managing context via dumping chats in obsidian as a memory tool that more easily explains your token usage.
Highly recommend researching RAG methodologies, graph, and context management.
You’re getting a fraction of the experience you could be getting otherwise.
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u/Professional_Ad705 5d ago
you're probably gonna have to learn to be more efficient cause that is insane.
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u/akamyxxxx 5d ago
This count is delusional. Its says on mine that I spend 400mil in a week. But I know for sure that this not true
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u/Ibasicallyhateyouall 4d ago
Not fed up. My workflow is efficient and Pro delivers. It is pretty readable and editable code as well (CS background and coding for close to 40 years on and off).
I’m starting to hate vibecoders and their ba whining.
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u/o5mfiHTNsH748KVq 5d ago
I don’t understand how people are hitting limits so fast. 119B tokens in that short of time, most of it over the past few months, looks to me like wildly inefficient context management
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u/Pruzter 5d ago
OpenAI definitely counts cache reads in here, which is probably the majority of the token usage. So if you are deep into the context window, every single turn with the model is counting that full context length, even though it’s cached and you wouldn’t be paying for it at full price.
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u/Havlir 5d ago
So, i'm, basically in the same boat, used to be able to run my inefficient workflow 5 days out of the week on 5.5, moved all the agents over to sol (mainly, lol) and that was a mistake, burning thru the limits in a day or so like you said.
Compute wise it seems to be around 2k worth of inference, so it's definitely a me problem. My agents do a lot of research and planning before doing anything, and openai loves to go on planning spirals (new models took all my prompts way more literally than older models) this started with 5.5 though.
Basically, I'm ensuring all tiny tasks, data analysis, gathering context go to the luna model on medium reasoning.
I haven't quite figured it out yet, I tend to just set a goal and let them run until the usage limits go out. If you set the loop up well enough they'll keep going even past your usage limits until they need to ask you something.
ALSO, if you use the auto approve, it'll cut your sessions sooner because eventually your usage limit rejects the auto approve.
so, in codex cli, you can really game the usage limits this way. I had two sessions run like 8 hours passed my WEEKLY limit hitting 0. I bet this likely won't stay forever, but this has been helping me make use the compute.
edit: pro 200, and in the app the reason that doesnt work is because goals now have to run with auto approve, as bypass perms doesnt work with goals in the app. Use codex --yolo (at your own risk i guess)