A multi-SLM platform creates value only when specialization does not introduce a new latency tier. Small language models are inexpensive enough to dedicate to focused work such as extraction , code handling, safety filtering, or short-form reasoning, but that advantage disappears if model selection itself becomes expensive. Research on LLM routing shows that query difficulty varies enough for model choice to materially affect efficiency and quality, and modern serving stacks expose enough control over routing, batching, and cache locality to turn that insight into an operational design rather