Benchmark

BrowseComp Long Context 256k

reasoning search text

BrowseComp is a benchmark for measuring the ability of agents to browse the web, comprising 1,266 questions that require persistently navigating the internet in search of hard-to-find, entangled information. Despite the difficulty of the questions, BrowseComp is simple and easy-to-use, as predicted answers are short and easily verifiable against reference answers. The benchmark focuses on questions where answers are obscure, time-invariant, and well-supported by evidence scattered across the open web.

语言EN
满分1
参评模型1

模型排名

名次 模型 机构 分数 来源
1 GPT-5 OpenAI 88.8 来源 ↗