Benchmark of 910 visually grounded tasks for multimodal web agents
Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.
What is VisualWebArena?
VisualWebArena is an academic benchmark from Carnegie Mellon University that evaluates multimodal autonomous web agents on visually grounded, execution-based tasks. It contains 910 tasks spanning three self-hosted environments: Classifieds, Shopping, and Reddit. Agents process image-text inputs and follow natural language instructions to take real actions on the sites. It extends the earlier text-only WebArena benchmark and was published as a peer-reviewed paper at ACL 2024.
Our verdict
The reported gap between GPT-4o's 19.78% success rate and the 88.70% human baseline makes it a useful stress test for how far multimodal agents still fall short on realistic web tasks. As a self-hosted, Docker-based academic benchmark rather than a product, it fits research and internal evaluation more than teams looking for a plug-in monitoring dashboard.
Categories:
These are research benchmarks, not products you buy. They define fixed web tasks and score how reliably an agent or model completes them, which is the closest thing the field has to an objective measure of web-agent capability. They are listed here for evaluation, not procurement.
Self-hosted, open-source benchmark for autonomous web agents
Free·Jul 2026·Benchmarks
Benchmark for evaluating general AI agents on reasoning and tool use
Free·Jul 2026·Benchmarks
Benchmark for evaluating computer-use AI agents on real tasks
Free·Jul 2026·Benchmarks
How VisualWebArena compares
WebArenaWebArena is the text-only predecessor VisualWebArena extends. It uses the same self-hosted website environments without the visual grounding requirement.
GAIAGAIA is another benchmark that evaluates general AI assistants on real-world, execution-based tasks rather than static Q&A.
OSWorldOSWorld extends the same execution-based evaluation approach from web tasks to full desktop and GUI environments.
