Comment by smokeeaasd
4 days ago
I think one of the most interesting takeaways is that model selection may matter more than model size.
The industry has largely focused on building larger models, but your results suggest that intelligently routing requests to the right combination of specialized models can deliver greater gains at a much lower cost.
It also reinforces the idea that weaker models are not necessarily obsolete. They may simply excel in different areas and become much more valuable when combined with others. I'm curious to see whether this still holds for coding and agentic tasks, where choosing the right models is likely much more challenging.
exactly, if you ensemble heavily small uncorrelated models (while each being expert on its task) you can get really interesting resutls.
on agentic and coding what's make the problem even deeper is the granularity. how and when to use each model and at which layer of abstraction (session, goal, task, turn/tool calling). this is also something we are working on actively!