WebArena
A benchmark evaluation environment for AI agent tasks, providing a standardized framework for assessing agent performance on real-world tasks such as web interaction. It enables consistent and reproducible evaluation of autonomous agents operating within simulated web-based environments.
Timeline (last 90 days)
Evaluating browser agents typically uses public benchmarks such as WebArena, WebVoyager, Mind2Web, and GAIA, measuring end-to-end success rate and step efficiency on multi-step tasks on real websites.
On the WebArena browser agent benchmark, the then-strongest GPT-4 agent scored 14.41%, while humans scored 78.24%.
Benchmark environments targeting agent capabilities, such as WebArena, AgentBench, and τ-bench, still rely primarily on sandbox simulations and struggle to capture the real data noise, permission boundaries, latency jitter, and error propagation chains found in production-grade systems.
SWE-bench and WebArena are representative evaluation benchmarks under the agent paradigm.
Current mainstream Agent evaluation approaches fall into three categories: task completion rate based on deterministic assertions, LLM-as-Judge, and end-to-end benchmark test sets (such as SWE-Bench and WebArena).
WebArena, ToolBench, and AgentBench are the current mainstream AI Agent benchmarks, focusing on web navigation, tool invocation, and multi-environment comprehensiveness, respectively.
WebArena is a benchmark introduced by Carnegie Mellon University in 2023 that deploys self-hosted copies of real web applications such as Reddit, GitLab, and e-commerce websites.
WebArena, MiniWoB++, and Mind2Web are early representative benchmarks in the browser automation field, focusing respectively on real website interaction, simplified web page operations, and cross-website generalization capability.
Qwen3 27B's performance on computer operation benchmarks is: OSWorld Verified 84.3, WebArena Verified 64.8, and AndroidWorld 81.9.
Benchmarks such as WebArena and Mind2Web show that the current strongest web agents still achieve a success rate of less than 50% on complex web tasks.
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All Facts (12)
在开源领域，与Browser-Use类似定位的项目还有LaVague、WebArena、Skyvern等
90%UnverifiedStanford University's WebArena benchmark, released in 2023, showed that even the most advanced AI models achieve only about a 14% success rate on complex operational tasks on real web pages
60%UnverifiedEvaluating browser agents typically uses public benchmarks such as WebArena, WebVoyager, Mind2Web, and GAIA, measuring end-to-end success rate and step efficiency on multi-step tasks on real websites.
50%UnverifiedOn the WebArena browser agent benchmark, the then-strongest GPT-4 agent scored 14.41%, while humans scored 78.24%.
50%UnverifiedBenchmark environments targeting agent capabilities, such as WebArena, AgentBench, and τ-bench, still rely primarily on sandbox simulations and struggle to capture the real data noise, permission boundaries, latency jitter, and error propagation chains found in production-grade systems.
50%UnverifiedSWE-bench and WebArena are representative evaluation benchmarks under the agent paradigm.
50%UnverifiedCurrent mainstream Agent evaluation approaches fall into three categories: task completion rate based on deterministic assertions, LLM-as-Judge, and end-to-end benchmark test sets (such as SWE-Bench and WebArena).
50%UnverifiedWebArena, ToolBench, and AgentBench are the current mainstream AI Agent benchmarks, focusing on web navigation, tool invocation, and multi-environment comprehensiveness, respectively.
50%UnverifiedWebArena is a benchmark introduced by Carnegie Mellon University in 2023 that deploys self-hosted copies of real web applications such as Reddit, GitLab, and e-commerce websites.
50%UnverifiedWebArena, MiniWoB++, and Mind2Web are early representative benchmarks in the browser automation field, focusing respectively on real website interaction, simplified web page operations, and cross-website generalization capability.
50%UnverifiedQwen3 27B's performance on computer operation benchmarks is: OSWorld Verified 84.3, WebArena Verified 64.8, and AndroidWorld 81.9.
50%UnverifiedBenchmarks such as WebArena and Mind2Web show that the current strongest web agents still achieve a success rate of less than 50% on complex web tasks.
50%