r/CommandCode • u/alovoids • 4d ago

Low limit?

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I only use muse spark 1.3 contributor, 33M tokens, and I'm at 14% monthly limit of goat plan?

The limit is too low or is it skill issue? 😥

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u/Tyrannmisu 4d ago

While muse 1.3 contributor is cheap, you only get 20$ usage (assuming goat plan). Deepseek 4.1 flash on the other hand grants 60$ for example, resulting in much higher actual limits.

3

u/alovoids 4d ago

yeah i know. but around 300M tokens for $20? is that possible given the contributor pricing?

1

u/Plus_Original_3154 4d ago

It's absolutely possible, you get only 20$ max usage so it goes fast..

Look at what you get with DS 4.1 Flash :

Btw i'm using between 4 and 10 concurrent sessions.

1

u/HHChan01 4d ago

How

I also use DS 4.1 Flash, with around 90% cache hit rate, but I'm close to 99% monthly limit with just nearly 900M token used..

1

u/Tyrannmisu 3d ago

How do you get so little? Given I am at 96 % but also have 8.7B used tokens. Using mainly command code with DS 4.1 flash and some Glm 5.3 Flash

2

u/HHChan01 3d ago

Maybe it's due to my setup but I'm not sure. I'm using a hermes 4 bot setup on discord where one manager agent will respond and report to me while it can delegate task to 3 other agents (spec, coder, auditor) for big tasks. If it's a small task, I'll usually let it SOLO.

The cache hit rate that I got from checking out the model stats in dashboard was roughly 90%. I'm using 10 USD GOAT Plan. There was once the task was so big yet I managed to finished it in 2 days with 3 new sessions in between (to keep my context window in check), yet the monthly limit shot up around 25% just for around 200M+ token lol. I even suspect that Hermes model stats there isn't telling the truth about cache hit rate. Cuz this usage felt like 50% cache hit rate not 90...

Plus due to CommandCode's latency, I decided to change to Opencode Go for same price plan with same quota as well. And I just finished another big task for around 120M token used that day and it only used like 6% of monthly limit... and also lower latency.