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### VL-RouterBench: A Benchmark for Vision–Language Model Routing [![arXiv](https://img.shields.io/badge/arXiv-2512.23562-red.svg)](https://arxiv.org/abs/2512.23562) [![GitHub](https://img.shields.io/badge/GitHub-Repository-black.svg)](https://github.com/K1nght/VL-RouterBench)
## Overview We provides a clean, reproducible implementation of **VL-RouterBench**, a benchmark and toolkit for **routing across a pool of Vision–Language Models (VLMs)** under both **performance** and **performance–cost** objectives.

VL-RouterBench pipeline

## 📦 Data Preparation VL-RouterBench converts [**VLMEvalKit**](https://github.com/open-compass/VLMEvalKit) outputs into a unified routing benchmark. To make data setup easier, we provide a pre-packaged archive **`vlm_router_data.tar.gz`** that contains everything needed to run the pipeline. You can download it from any of the following channels and extract it under the repo root: - **Google Drive**: [vlm_router_data.tar.gz](https://drive.google.com/file/d/1Va18MW8nJqvatxDXQDQq0t9NAqr93hMg/view?usp=sharing) - **Baidu Netdisk**: [vlm_router_data.tar.gz](https://pan.baidu.com/s/1D_P8YwY_E5kDA5dUB-ovng) (code: xb1s) - **Hugging Face**: [vlm_router_data.tar.gz](https://huggingface.co/datasets/KinghtH/VL-RouterBench) After downloading, extract it as: ```bash tar -xzf vlm_router_data.tar.gz ``` By default, the pipeline expects the following directories (relative to repo root): ```bash vlm_router_data/ VLMEvalKit_evaluation/ # required (for is_correct / evaluation) VLMEvalKit_inference/ # required for accurate output-token counting (Step 2) TSV_images/ # optional (for TSV-packed image datasets) ``` Notes: - **`VLMEvalKit_evaluation/`** is used by Step 1 & 4 (contains correctness signals). - **`VLMEvalKit_inference/`** is used by Step 2 (extract real model outputs to count output tokens). - **`TSV_images/`** is used by routers for training and inference to make routing decisions. ## 📝 Citation If you find this benchmark useful, please cite: ```bibtex @misc{huang2025vlrouterbenchbenchmarkvisionlanguagemodel, title={VL-RouterBench: A Benchmark for Vision-Language Model Routing}, author={Zhehao Huang and Baijiong Lin and Jingyuan Zhang and Jingying Wang and Yuhang Liu and Ning Lu and Tao Li and Xiaolin Huang}, year={2025}, eprint={2512.23562}, archivePrefix={arXiv}, primaryClass={cs.LG}, url={https://arxiv.org/abs/2512.23562}, } ``` ---