Am I doing something wrong? Qwen 3.8 27B seems useless for agentic coding

I have been using local models on/off for like 2 years or so but never really used them extensively because the closed ones were always much better.

Once Qwen 3.8 27B was released I decided to give it another serious try. I configured Cline and ZooCode as VSCode addons, installed a few MCP servers and added one skill.

When I used these tools with Deepseek V4 Flash - they do the job quite well (mostly Home Assistant configuration editing etc.) but it is still way worse than Claude Code/GitHub copilot that I use at work.

With Qwen - running the Q6_K quant from unsloth - it runs tons of tokens and eventually either finishes the task (often incorrectly) or doesnt finish at all because it ends in a loop or tries to fix something that isn't broken.

I run the model on Windows 11 using LM Studio. The hardware I have is powerful enough - 2x3090Ti. I offload it fully to GPU and set the context limit to around 50k tokens. Also - I was aware of the overthinking problem so I modified the prompt template to use medium effort instead.

Yet still - I struggle to complete most of the tasks at hand. Can you tell me what I am doing wrong? I suspect that maybe Qwen is still using high reasoning effort but I have no way of checking that.

Or should I rather not use LM Studio but a different tool?