reasoning benchmark
BrowseComp Long Context 128k Leaderboard
BrowseComp Long Context 128k is a benchmark for evaluating web browsing agents on 1,266 questions involving persistent internet navigation and hard-to-locate, entangled information.
Updated Sep 5, 2026
Models5
Model coverage5
MetricScore
EvidenceB
BrowseComp Long Context 128k Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score92.00% | Percentile100.00% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score90.00% | Percentile75.00% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score90.00% | Percentile50.00% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score90.00% | Percentile25.00% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score90.00% | Percentile0.00% | Participants5 | EvidenceC | Evaluated |
BrowseComp Long Context 128k Highlights
The leading models and scores on this benchmark.
BrowseComp Long Context 128k Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for BrowseComp Long Context 128k
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 128k?
What BrowseComp Long Context 128k measures and how its scores work.
BrowseComp Long Context 128k is a reasoning benchmark comprising 1,266 questions with short, easily verifiable answers.
It measures web browsing agents' ability to persistently navigate the internet, use strategic reasoning and creative search, and interpret retrieved content, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BrowseComp Long Context 128k
- 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 128k.
Which model scores highest on BrowseComp Long Context 128k?
GPT-5.2 is currently ranked first with 92.00%.
What are the top three models on BrowseComp Long Context 128k?
The current leaders are GPT-5.2 (92.00%), GPT-5.1 (90.00%), and GPT-5.1 Instant (90.00%).
Which BrowseComp Long Context 128k model has the lowest official input price?
GPT-5.1 has the lowest matched official input price at $1.3 input / $10 output per 1M tokens.
Which models are fastest among BrowseComp Long Context 128k results?
The fastest matched records are GPT-5.2 (100.00 tok/s via OpenAI), GPT-5.1 (100.00 tok/s via OpenAI), and GPT-5.1 Instant (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.