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reasoning benchmark

BrowseComp Long Context 256k Leaderboard

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.

Updated Aug 17, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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BrowseComp Long Context 256k Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-5.2OpenAIScore89.8%Percentile100.0%Participants2EvidenceCEvaluatedAug 17, 2026
Rank02ModelOPGPT-5OpenAIScore88.8%Percentile0.0%Participants2EvidenceCEvaluatedAug 17, 2026

BrowseComp Long Context 256k Highlights

The leading models and scores on this benchmark.

Rank #1GPT-5.289.8%Rank #2GPT-588.8%

BrowseComp Long Context 256k Score Distribution

A closer view of the leading scores on this benchmark.

BrowseComp Long Context 256k

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.

Ranking basisThis browsecomp long context 256k 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.

  1. 01
    OP
    GPT-5.2OpenAI
    Score
    89.8%
    Price
    $1.8 input / $14 output per 1M tokens
    Speed
    Up to 100 tok/s via OpenAI

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp Long Context 256k, not total model capability
  2. 02
    OP
    GPT-5OpenAI
    Score
    88.8%
    Price
    $1.3 input / $10 output per 1M tokens
    Speed
    Up to 100 tok/s via OpenAI

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp Long Context 256k, not total model capability

Selection summary

Best AI Models for BrowseComp Long Context 256k

GPT-5.2 currently leads BrowseComp Long Context 256k with 89.8%. 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.

Benchmark rank #1GPT-5.289.8% · $1.8 input / $14 output per 1M tokensBenchmark rank #2GPT-588.8% · $1.3 input / $10 output per 1M tokens

What is BrowseComp Long Context 256k?

What BrowseComp Long Context 256k measures and how its scores work.

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.

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
browsecomp-long-256k|llm-stats-current

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 89.8%.

What does BrowseComp Long Context 256k measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.