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Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification

ICML 2026 · Multi-agent systems and games › LLM agents · approach: GUI agent memory and trajectories · 0 citations (OpenAlex)

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Introduces Vision2Web, a three-level hierarchical benchmark (193 tasks, 1255 test cases, 918 prototypes) for visual website development, evaluated with a workflow-based agent verifier (GUI agent plus VLM judge) across coding agent frameworks.

Problem

Existing coding-agent benchmarks lack end-to-end, visually grounded website development tasks and reliable, reproducible verification of complex interactions and long-horizon outcomes.

Approach

A hierarchical benchmark (static webpage, interactive multi-page frontend, full-stack website) built from real websites, with verification via expert-designed dependency-graph test workflows executed by a GUI agent for functionality and a VLM judge scoring visual fidelity per component.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: C4 validation set

Benchmarks: Vision2Web

Metrics: Visual Score (VS) Functional Score (FS) Deployment Success Rate (DSR) Spearman rank correlation

Baselines: Claude-Opus-4.5 Claude-Sonnet-4.5 GPT-5 Gemini-3-Pro-Preview Gemini-3-Flash-Preview Seed-1.8-VL Qwen3-VL-32B-Instruct Qwen3-VL-8B-Instruct Design2Code WebGenBench SWE-Bench Multimodal

Builds on: WebVoyager Design2Code

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