I find the qwen3 models spend a ton of thinking tokens which could hamstring them on the runtime limitations. Gpt-oss 120b is much more focused and steerable there.

The token use chart in the OP release page demonstrates the Qwen issue well.

Token churn does help smaller models on math tasks, but for general purpose stuff it seems to hurt.