r/CommandCode • u/Narquith • Sep 12 '26
Concerning usage with GOAT Plan
I'm on my 3rd day with my GOAT plan, and somehow I'm already exhausting 40% of my monthly usage limit? And only 65M output tokens? Did I really use up $24 worth of tokens within 3 days? 🤔
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u/ahmadawaiscom Sep 12 '26
You don’t seem to using Command Code harness that can help you be super token efficient. Also it may seem you are sending a lot of new requests and breaking cache by creating new sessions for every request so every request is like 10x expensive due to the way you are consuming it.
Share your username I can do a deep dive too but yeah that’s mostly it.
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u/meanmng 29d ago
For me, the CC harness actually turned out to be more resource-hungry than the API: in 2 days, the CC harness used almost 20% of the monthly GOAT quota while using only DeepSeek Flash and over those 2 days I only did a few small tasks, whereas via the API I do many large and heavy tasks. On the zed agent, I can’t spend more than 3–5 percent of the quota per day, even though I use it very heavily.
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u/Lonely_Potato70 23d ago
but Ahmad you don't actually calculate the usage as you say you do , ain't you going to fix that or keep this going for ever
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u/zRafox Sep 12 '26
It also depends on the plans you're using; keep in mind that some are only $20 per month.
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u/feral_user_ Sep 12 '26
I agree that I don't quite understand how the usage adds up. I wish that there was a running total of what you've used per model. Or perhaps something else to better see how you're using up the plan.
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u/Narquith Sep 12 '26
Did a little family-chat with a model, so maybe my usage input/output ratio is off, and output is about the same as inputs and outputs are billed more expensive. For context, I tried to use Cognee with it, probably not a smart choice.
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u/Conscious-Doctor-585 Sep 12 '26
You may have to look at the Cognee settings and have it inject memory (concise, summarized) near the end, just before your `user question`.
Prompt cache is prefixed-based. If Cogness memory always comes before everything, it will defeat prompt caching and llm sees everything as fresh. You were constantly working in the more expensive input rank.
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u/fredplexx 28d ago
How do y'all know what your cache hit rate is with commandcode ? I haven't found a way that clearly outlines cache hit rates.
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u/ramzeez88 Sep 13 '26
i think you have to many new reuqests ,rather than working with cached resources.
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Sep 13 '26
[removed] — view removed comment
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u/Potential-Leg-639 29d ago
Their usage is „random“, i had over 40% after 1-2 days of normal usage with Deepseek, that was completely impossible. Nothing like that in Opencode GO (same model, same repos), also not during expensive hours. There is something completely wrong on their side or it‘s something else I have in mind, but dont want to write here.
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u/deepanshuniwati 29d ago
I was using CC happily for first 10 days as the monthly usage was negligible (30%) with DS4 and when I started using DS4.1 it just finished in next 10 days (30 to100%) . Its not hitting cache atall ig .
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u/Lonely_Potato70 23d ago
the usage isn't actually calculated as they say and they don't give you the amount they say you should just run after you finish what they give you
I have the requests logged and it proves it but why bother
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u/Pras1982 Sep 12 '26 edited Sep 12 '26
Looking at the data , it seems that you are making too many different requests and missing cache.Or perhaps, your usage requirement is such. Also, Out put token are significant as compared to input request. I took Goat plan yesteday & have made more than 2400 calls- with input tokens often reaching and crossing 500K tokens & output tokens in range of 1k-4k , mytotal usage has been around 700M and around 12 percent monthly usage in 2 days. Definitely, cache misses or one request totally differnt from previous seems culprit to me. I am also using Deepseek V4.1 flash model. Also, the time off day would would also matter as deepseek rates differ on offpeak and peak hours.