aider found that with R1, the best performance was to use R1 to think through the solution, and use claude to implement the solution. I suspect that, in the near term, we'll need combinations of reasoning models and instruction-following coding models for excellent code output.

My experience is that most of the models focused on reasoning improvements has been that they tend to be a bit worse at following specific instructions. It is also notable that a lot of 3rd party fine-tunes of Llamas and others gain in knowledge based benchmarks while reducing instruction following scores.

I wonder why that seems to be some sort of continuum?