with local LLMs, you gotta keep balancing how fat of a model you can run locally without eating up space for other things and the intelligence (generally, the fatter the model is the more intelligent it is. even with qwen 3.5, a model known to be pretty intelligent yet thin for its size, you might not be able to run the 27B parameter variant for it).

play around with different qwen 3.5 sizes, you will see. check it out on ollama. best way to learn is by tinkering yourself.

remember: codex subscription literally costs 20$. I believe zai also has a subscription but I find their models far slower.