VQV Signal
Current LLM routers select models based on static costs but overlook the choice of provider after model selection. Research shows that provider choice impacts performance and cannot be inferred from model cost alone.
Current LLM routers select models based on static costs but overlook the choice of provider after model selection. Research shows that provider choice impacts performance and cannot be inferred from model cost alone.
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Existing LLM routers choose among models using static per-model costs. We show that open-weight inference markets introduce a second, largely ignored decision axis: after choosing a model, a client must still choose which provider serves it. Measuring live endpoints across [nummodels] open models, competing...
In open-weight LLM inference markets, selecting the right provider is crucial for optimizing performance and cost. Ignoring provider variability can lead to suboptimal routing decisions in LLM applications.
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