AI RESEARCH
VL-RouterBench: A Benchmark for Vision-Language Model Routing
arXiv CS.LG
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ArXi:2512.23562v2 Announce Type: replace Multi-model routing has evolved from an engineering technique into essential infrastructure, yet existing work lacks a systematic, reproducible benchmark for evaluating vision-language models (VLMs). We present VL-RouterBench to assess the overall capability of VLM routing systems systematically. The benchmark is grounded in raw inference and scoring logs from VLMs and constructs quality and cost matrices over sample-model pairs.