reasoning benchmark
BrowseComp Long Context 256k Leaderboard
BrowseComp Long Context 256k is a reasoning benchmark comprising 1,266 questions that require agents to persistently navigate the internet to find hard-to-find, entangled information.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
BrowseComp Long Context 256k Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score89.80% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score88.80% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
BrowseComp Long Context 256k Highlights
The leading models and scores on this benchmark.
BrowseComp Long Context 256k Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for BrowseComp Long Context 256k
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is BrowseComp Long Context 256k?
What BrowseComp Long Context 256k measures and how its scores work.
BrowseComp Long Context 256k is a benchmark for evaluating agents on web-browsing questions with short answers that can be checked against reference answers.
It measures agents’ ability to browse the web and find obscure, time-invariant information supported by evidence scattered across the open web, reported as Score with a ratio unit.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BrowseComp Long Context 256k
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BrowseComp Long Context 256k.
Which model scores highest on BrowseComp Long Context 256k?
GPT-5.2 is currently ranked first with 89.80%.
What are the top three models on BrowseComp Long Context 256k?
The current leaders are GPT-5.2 (89.80%) and GPT-5 (88.80%).
Which BrowseComp Long Context 256k model has the lowest official input price?
GPT-5 has the lowest matched official input price at $1.3 input / $10 output per 1M tokens.
Which models are fastest among BrowseComp Long Context 256k results?
The fastest matched records are GPT-5.2 (100.00 tok/s via OpenAI) and GPT-5 (100.00 tok/s via OpenAI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.