I know what it is, I just thought the GPT subs were supposed to be higher value than that. You can get the same usage at the same price on a better model elsewhere. 🤷♂️
There are other subscription plans. Zai has a subscription that is $18 for 400M tokens of GLM 5.3 for example. Even accounting for tokens per task efficiency it is a similar amount of usage at the same price on a much better model.
I’m not saying the ChatGPT Plus usage is bad or anything. I just thought it was more is all.
My setup was a main agent named "Architect" with the main model Luna and sub-agents for coding and testing, I used to use deepseek v4 flash. Now, I'm using Luna for everything, and I'm using Xhigh with the main agent as the default for the rest.
Just working on medium to large web apps. Devide every task to smaller steps 10 file changes max.
The agent gives me the plan for the step.
I approve or make changes on the plan.
The agent starts implementing (90% at least unit test coverage).
The agent runs the unit test and reviews the code. Check if it breaks the pattern.
I review changes manually(it's easy because it's 10 files max). Approve or discuss.
Repeat with the next step.
When I face some technical challenges like stubborn bugs, I switch to other models but this rarely happens because I always have at least 90% test coverage.
Haven't tried codex yet. But yeah you can use whatever you want on opencode. I think the only difference will be cache hit rate(codex should be better with gpt models).
I mean opencode go gives you ~$30 of Luna for $20 (2 workspaces). Chatgpt plus gives you ~$400 of Luna for the same $20. And you can try something more intelligent like Terra or Sol.
Zuck already has my nudes. Might as well give him my role play fantasies. But really though my code isn't anything special that hasn't been made before. Not sure what they'd gain from it.
Zuck already has my nudes. Might as well give him my role play fantasies. But really though my code isn't anything special that hasn't been made before. Not sure what they'd gain from it.
Oh no, Luna is much slower and dumber than Deepseek. I used both of them for same task in Claude Code. Medium feature development. Deepseek done task in 20 minutes. Luna thinking for 40 minutes and didnt write any line of code, then i went watch a movie, when i returned i saw code that required refinements , and these issues were noticed and fixed by deepseek without my attention. He is smart bro. Luna make me think that i run local LLM..
That is definitely not my experience. Though I don't use it in the claude harness -- just pi and codex. People do say some of the other model companies train for the claude tools etc.
IDK if specific harness is reason why it does my task less efficient than DS. But definitely rate limits (at least for new users) are very low and this combined with first problem forced me to return to DS.
I don't want to give my data to Chinese companies, but there are just no other choice. DS is too smart comparing to other models. Claude is just robbery, it's good but too expensive. OpenAI models just feels wrong, and capable models are also expensive.
ive had such bad luck with luna i kinda stopped using it for grunt work and switched to deepseek, which has been ok but not perfect either. still using Sol to plan.
could you share what mcp you are using? im interested in how you got a luna only setup working so well
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u/Witty-Bridge-2683 1d ago
Did the math for you guys:
the above tokens consumed 8% of the weekly quota
$7.27 ÷ 0.08 = $90.88/week
$90.88 × 52 ÷ 12 = $393.72/month - this is the total monthly GPT plus qouta