Get llama.cpp and try Qwen3.6-35B-A3B. Just came out and looks good. You’ll have to look into optimal settings, as it’s a Mixture of Experts (MoE) model with only 3B parameters active. That means that the rest can stay in RAM for quick inference.
You could also try the dense model (Qwen3.5-27B), but that will be significantly slower. Put these in a coding harness like Oh-My-Pi, OpenCode, etc. and see how it fares for your tasks. Should be ok for small tasks, but don’t expect Opus / Sonnet 4.6 quality, more like better than Haiku.




I was thinking about getting one, but then I read more about it and realised you can’t really use it without the Steam client. Kind of put me off since I have a large part of my library on GOG. Maybe this won’t be a problem in the future though.