It's faster and more accurate. Bonsai was a way to demonstrate how effective ternary quant is, and how much it accelerates throughput. If you try coding with it you'll find that it often makes mistakes with tool calls and other syntax related tasks.

This model has higher retention because of the weight complexity and the quant method we built, and the speed loss is compensated via kernel optimisations and speculative decoding.