reasoning benchmark
A challenging benchmark for evaluating web browsing agents' ability to persistently navigate the internet and find hard-to-locate, entangled information. Comprises 1,266 questions requiring strategic reasoning, creative search, and interpretation of retrieved content, with short and easily verifiable answers.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 92.0% | 100.0% | 5 | C | |
| 2 | OP | 90.0% | 75.0% | 5 | C | |
| 3 | OP | 90.0% | 50.0% | 5 | C | |
| 4 | OP | 90.0% | 25.0% | 5 | C | |
| 5 | OP | 90.0% | 0.0% | 5 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
A challenging benchmark for evaluating web browsing agents' ability to persistently navigate the internet and find hard-to-locate, entangled information. Comprises 1,266 questions requiring strategic reasoning, creative search, and interpretation of retrieved content, with short and easily verifiable answers.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about BrowseComp Long Context 128k.
GPT-5.2 is currently ranked first with 92.0%.
A challenging benchmark for evaluating web browsing agents' ability to persistently navigate the internet and find hard-to-locate, entangled information. Comprises 1,266 questions requiring strategic reasoning, creative search, and interpretation of retrieved content, with short and easily verifiable answers.
Yes. Higher values rank better for this benchmark.
5 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.