VibeVideoBench:Evaluating Multimodal Agents on Code-Driven Video Generation

Muxi Diao; Wenbin Xu; Lele Yang; Xuyang Ma; Yuzhe Chen; Jiankang Chen; Kaiyu Jiang; Changyi Liu; Haoyu Zhang; Hongyi Fu; Jianxiong Wang; Tianke Zhang; Haonan Fan; Yingxin Li; Bingyi Li; Xu Wang; Xuanyu Zheng; Bin Wen; Tingting Gao; Han Li; Wentao Zhang; Weiran Xu; Kongming Liang; Zhanyu Ma

arXiv · 2610.35864

VibeVideoBench:Evaluating Multimodal Agents on Code-Driven Video Generation

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Abstract

Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a ruleconsistent game or narration synchronized to on-screen events. A different route is emerging: multimodal agents that write code to render every frame and synthesize every sound. We introduce VibeVideoBench, a benchmark for evaluating agents on code-driven video generation. Its 239 self-contained tasks in English and Chinese span 12 categories, from data stories and music-driven pieces to classroom lessons and paper explainers; each asks an agent, running in its native harness inside a sandbox, to deliver a finished MP4 with sound within one hour. Evaluation is hierarchical and evidence-based: program checks of the delivery spec, about 13k task-specific rubric checks traced to the requirements they enforce, and five quality dimensions anchored per task, judged by three VLM judge panels and validated with blind human preferences. Across nine frontier agent systems and 2,151 scored rollouts, the benchmark is far from solved: GPT-6 Astra and Claude Opus 5.5 lead clearly, yet even the best system fails a core requirement on about a quarter of tasks. Whether a video arrives at all matters as much as its quality, and three quarters of the lost videos are final renders started too late, run too slowly or never started. The judges agree with each other and with human preferences on system rankings, but only moderately on individual videos.

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Muxi Diao, Wenbin Xu, Lele Yang, Xuyang Ma, Yuzhe Chen, Jiankang Chen, Kaiyu Jiang, Changyi Liu, Haoyu Zhang, Hongyi Fu, Jianxiong Wang, Tianke Zhang, Haonan Fan, Yingxin Li, Bingyi Li, Xu Wang, Xuanyu Zheng, Bin Wen, Tingting Gao, Han Li, Wentao Zhang, Weiran Xu, Kongming Liang, Zhanyu Ma. 2026-10-26. VibeVideoBench:Evaluating Multimodal Agents on Code-Driven Video Generation. https://arxiv.org/abs/2610.35864

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