Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification
This provides a benchmark for evaluating coding agents in visual website development, which is incremental as it builds on existing agent frameworks.
The authors tackled the lack of systematic evaluation for complex website development by introducing Vision2Web, a hierarchical benchmark with 193 tasks across 16 categories, and found that state-of-the-art models still struggle on full-stack development.
Recent advances in large language models have improved the capabilities of coding agents, yet systematic evaluation of complex, end-to-end website development remains limited. To address this gap, we introduce Vision2Web, a hierarchical benchmark for visual website development, spanning from static UI-to-code generation, interactive multi-page frontend reproduction, to long-horizon full-stack website development. The benchmark is constructed from real-world websites and comprises a total of 193 tasks across 16 categories, with 918 prototype images and 1,255 test cases. To support flexible, thorough and reliable evaluation, we propose workflow-based agent verification paradigm based on two complementary components: a GUI agent verifier and a VLM-based judge. We evaluate multiple visual language models instantiated under different coding-agent frameworks, revealing substantial performance gaps at all task levels, with state-of-the-art models still struggling on full-stack development.