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  5. BrowseComp
Evaluation & Benchmarks

BrowseComp

BrowseComp is a benchmark that tests an AI agent's ability to find hard-to-locate facts by browsing the live web.

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Released in April 2025, BrowseComp poses questions answerable only through multi-step web research rather than parametric knowledge. Because it runs against the live internet, results depend on what the web contained on the day of the run, making scores time-stamped rather than fixed — a property that separates it from static closed-set benchmarks like MMLU.

Related terms

Browser AgentAgent EvaluationTool UseRHAE (Relative Human Action Efficiency)ViDoRe V3Statistical Significance

Where BrowseComp comes up

  • OpenAI DNS Incident: Capable-Model Training Will Not Resume
  • OpenRouter Web Search Benchmarks: How to Pick a Search Tool for Agents
  • Fable 5 Advisor and Orchestrator Patterns: 92% Quality at 63% Cost (July 2026)
  • Apodex 1.0-mini: 35B Open Model Tops FutureX — Beats Sonnet 4.6 and GPT-5.5