Moving from Composer 2/Kimi 2.6 to Qwen3.6:35b-a3b

Reddit r/LocalLLaMA Models

Summary

User shares experience switching to Qwen3.6:35b-a3b AI model for software development, finding it superior to Composer 2 and Kimi 2.6 for a large enterprise codebase, and cost-effective via OpenRouter.

I can't believe it, but I'm able to do my daily software development work on this model. We have a 500-700k line of code enterprise software suite that I'm devving for 60 hours a week. I've been hunting for a cursor replacement for a little bit now, and was previously toying with Kimi 2.6 and deepseek 4 pro and flash. There are some minor issues I've had with each of those, and Q3.6:35b-a3b actually feels the best for me, anecdotally, of all of them. I can't articulate how insanely excited and shocked I am. I've been hearing the hype here for a bit and I have to say it lived up to it. I could run this model locally, but I don't have the hardware for it, so for now I'm using it on openrouter at \~$0.08/1M tokens averaged out for our usage (what we're actually getting billed after caching and whatever is figured out). That's so insanely cheap for a model that can actually understand what I need it to with this workload / use case, and can accept image input / screenshots. If you haven't tried this model, I implore you, take a look at it. It's shockingly good. The only thing that I miss from Cursor at this point is the cloud agents functionality, and the high throughput they have on auto/Composer 2.
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