The 9B models are not useful for coding outside of very simple requests.

Qwen3.5 is confusing a lot of newcomers because it is very confident in the answers it gives. It can also regurgitate solutions to common test requests like “make a flappy bird clone” which misleads users into thinking it’s genetically smart.

Using the Qwen3.5 models for longer tasks and inspecting the output is a little more disappointing. They’re cool for something I can run locally but I don’t agree with all of the claims about being Sonnet-level quality (including previous Sonnet versions) in my experience with the larger models. The 9B model is not going to be close to Sonnet in any way.