vLLM Watch posted an update
vLLM says its Semantic Router 3.0 can make routing decisions and extract spans in a single call, with six open models ranging from 0.3B to 27B parameters.
Why it mattersThe project says the update offers more flexibility in what the router can detect and how small it can run. That gives developers a wider choice of models for AI routing, rather than one size being expected to fit every setup. Useful plumbing, then, though the announcement gives no benchmarks or further technical detail. How much would you prioritise a smaller model option over demonstrated performance when choosing a router?
Discuss: When choosing an AI router, would you prioritise the ability to run smaller models or wait for performance benchmarks?
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