reasoning benchmark
BrowseComp Long Context 128k Leaderboard
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 17, 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 | Score92.0% | Percentile100.0% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score90.0% | Percentile75.0% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score90.0% | Percentile50.0% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score90.0% | Percentile25.0% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score90.0% | Percentile0.0% | 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.
Ranking basisThis browsecomp long context 128k AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPGPT-5.2OpenAI
- Score
- 92.0%
- Price
- $1.8 input / $14 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #1 of 5 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp Long Context 128k, not total model capability
- 02OPGPT-5OpenAI
- Score
- 90.0%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #2 of 5 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp Long Context 128k, not total model capability
- 03OPGPT-5.1OpenAI
- Score
- 90.0%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #3 of 5 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp Long Context 128k, not total model capability
- 04OPGPT-5.1 InstantOpenAI
- Score
- 90.0%
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #4 of 5 compared models
- 25th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp Long Context 128k, not total model capability
- 05OPGPT-5.1 ThinkingOpenAI
- Score
- 90.0%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 80 tok/s via OpenAI
Strengths
- Ranks #5 of 5 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp Long Context 128k, not total model capability
Selection summary
Best AI Models for BrowseComp Long Context 128k
GPT-5.2 currently leads BrowseComp Long Context 128k with 92.0%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is BrowseComp Long Context 128k?
What BrowseComp Long Context 128k measures and how its scores work.
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. 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
- Yes
- Evaluation key
- browsecomp-long-128k|llm-stats-current
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 92.0%.
What does BrowseComp Long Context 128k measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.