  With the rapid development of LLMs, it is natural to ask how to harness their
capabilities efficiently. In this paper, we explore whether it is feasible to
direct each input query to a single most suitable LLM. To this end, we propose
LLM routing for challenging reasoning tasks. Our extensive experiments suggest
that such routing shows promise but is not feasible in all scenarios, so more
robust approaches should be investigated to fill this gap.
