Web Bench
Web Bench is a comprehensive benchmark dataset that evaluates AI web browsing agents across 5,750 tasks on 452 different websites, providing detailed performance metrics and comparisons.
https://www.webbench.ai/?ref=producthunt
Product Information
Updated:Jun 10, 2025
What is Web Bench
Web Bench is an innovative benchmark platform designed to realistically assess the capabilities of AI web browsing agents. It significantly expands upon previous benchmarks by including 5,750 diverse tasks spread across 452 different websites, with 2,454 tasks being open-sourced. This represents a major improvement over previous benchmarks like WebVoyager, which only covered 643 tasks across 15 websites. Web Bench aims to provide a more representative evaluation of how AI agents perform across the vast landscape of the modern internet.
Key Features of Web Bench
Web Bench is a comprehensive benchmark dataset designed to evaluate AI web browsing agents' performance across 5,750 tasks on 452 different websites. It significantly expands upon previous benchmarks by including diverse task types from read-only operations to complex interactions like authentication and form filling, providing a more realistic assessment of AI agents' capabilities in navigating and interacting with the modern web.
Extensive Task Coverage: Contains 5,750 tasks across 452 websites, with 2,454 tasks being open-sourced, providing a broad evaluation spectrum
Task Type Diversity: Includes both read-heavy tasks and complex interactive tasks like authentication, form filling, and file downloading
Performance Tracking: Features a public leaderboard system that tracks and compares different AI agents' performance metrics
Real-world Testing: Evaluates agents against actual website interactions and changes, simulating real-world scenarios
Use Cases of Web Bench
AI Agent Development: Helps developers benchmark and improve their AI web browsing agents against industry standards
Research Evaluation: Enables researchers to assess and compare different AI models' capabilities in web navigation and interaction
Quality Assurance: Allows companies to test their web automation tools' reliability and performance across various scenarios
Pros
More comprehensive than previous benchmarks like WebVoyager
Tests realistic scenarios including dynamic website interactions
Open-source availability for part of the dataset
Cons
Doesn't fully capture the internet's adversarial nature
Limited coverage of data mutation tasks
Some tasks are not publicly available (only 2,454 out of 5,750 tasks are open-sourced)
How to Use Web Bench
Visit the Web Bench website: Go to webbench.ai to access the benchmarking platform
Select evaluation category: Choose between Overall, Read Tasks (Navigation + Data extraction), or Write Tasks (Logging in, form filling, file downloading) categories to benchmark
Choose a browser: Google Chrome is recommended for best performance and compatibility, though other browsers like Firefox, Edge or Safari can complete 90% of actions
Run benchmark tests: Execute tests across the 5,750 tasks spanning 452 different websites (2,454 tasks are open sourced)
View results: Check the leaderboard to compare your agent's performance against other models like Anthropic Sonnet, Skyvern, OpenAI CUA etc. Results show percentage scores for each category
Analyze performance metrics: Review comprehensive performance metrics for how your AI agent navigates various web tasks, with particular attention to authentication, form filling and file downloading capabilities
Web Bench FAQs
Web Bench is a new dataset and benchmark designed to evaluate AI web browsing agents, consisting of 5,750 tasks across 452 different websites, with 2,454 tasks being open-sourced.
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