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reasoning benchmark

BrowseComp Leaderboard

BrowseComp is a reasoning benchmark comprising 1,266 questions that challenge AI agents to navigate the internet to find hard-to-find, entangled information.

Updated Oct 23, 2026

Models70
Model coverage70
MetricScore
EvidenceB

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BrowseComp Ranking

Higher score ranks better on this benchmark.

30 of 70 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelSAAtria Dawn PreviewShanghai AI LaboratoryScore92.50%Percentile100.00%Participants70EvidenceCEvaluatedOct 12, 2026
Rank02ModelOPGPT-6 AstraOpenAIScore91.50%Percentile98.55%Participants70EvidenceCEvaluatedOct 22, 2026
Rank03ModelMAKimi K3Moonshot AIScore91.20%Percentile97.10%Participants70EvidenceCEvaluatedOct 22, 2026
Rank04ModelANClaude Opus 5AnthropicScore90.80%Percentile95.65%Participants70EvidenceCEvaluatedOct 22, 2026
Rank05ModelOPGPT-5.6 SolOpenAIScore90.40%Percentile94.20%Participants70EvidenceCEvaluatedOct 22, 2026
Rank06ModelOPGPT-5.5 ProOpenAIScore90.10%Percentile92.75%Participants70EvidenceCEvaluatedOct 22, 2026
Rank07ModelOPGPT-5.6 TerraOpenAIScore87.50%Percentile91.30%Participants70EvidenceCEvaluatedOct 22, 2026
Rank08ModelANClaude Mythos PreviewAnthropicScore86.90%Percentile89.86%Participants70EvidenceCEvaluatedOct 22, 2026
Rank09ModelMAKimi K2.6Moonshot AIScore86.30%Percentile88.41%Participants70EvidenceCEvaluatedOct 22, 2026
Rank10ModelBYSeed 2.1 ProByteDanceScore86.20%Percentile86.96%Participants70EvidenceCEvaluatedOct 22, 2026
Rank11ModelGOGemini 3.1 ProGoogleScore85.90%Percentile85.51%Participants70EvidenceCEvaluatedOct 22, 2026
Rank12ModelBYSeed 2.1 TurboByteDanceScore84.90%Percentile84.06%Participants70EvidenceCEvaluatedOct 22, 2026
Rank13ModelANClaude Sonnet 5AnthropicScore84.70%Percentile82.61%Participants70EvidenceCEvaluatedOct 22, 2026
Rank14ModelOPGPT-5.5OpenAIScore84.40%Percentile81.16%Participants70EvidenceCEvaluatedOct 22, 2026
Rank15ModelANClaude Opus 4.8AnthropicScore84.30%Percentile79.71%Participants70EvidenceCEvaluatedOct 22, 2026
Rank16ModelTEHy3TencentScore84.20%Percentile78.26%Participants70EvidenceCEvaluatedOct 22, 2026
Rank17ModelANClaude Opus 4.6AnthropicScore84.00%Percentile76.81%Participants70EvidenceCEvaluatedOct 22, 2026
Rank18ModelMIMiniMax M3MiniMaxScore83.52%Percentile75.36%Participants70EvidenceCEvaluatedOct 22, 2026
Rank19ModelDEDeepSeek-V4-Pro-MaxDeepSeekScore83.40%Percentile73.91%Participants70EvidenceCEvaluatedOct 22, 2026
Rank20ModelOPGPT-5.6 LunaOpenAIScore83.30%Percentile72.46%Participants70EvidenceCEvaluatedOct 22, 2026
Rank21ModelOPGPT-5.4OpenAIScore82.70%Percentile71.01%Participants70EvidenceCEvaluatedOct 22, 2026
Rank22ModelANClaude Opus 4.7AnthropicScore79.30%Percentile69.57%Participants70EvidenceCEvaluatedOct 22, 2026
Rank23ModelZAGLM-5.1Zhipu AIScore79.30%Percentile68.12%Participants70EvidenceCEvaluatedOct 22, 2026
Rank24ModelNVNemotron 3.5 Super VL (120B A12B)NVIDIAScore78.00%Percentile66.67%Participants70EvidenceCEvaluatedOct 22, 2026
Rank25ModelOPGPT-5.2 ProOpenAIScore77.90%Percentile65.22%Participants70EvidenceCEvaluatedOct 22, 2026
Rank26ModelTMInkling-SmallThinking Machines LabScore77.40%Percentile63.77%Participants70EvidenceCEvaluatedOct 22, 2026
Rank27ModelBYSeed 2.0 ProByteDanceScore77.30%Percentile62.32%Participants70EvidenceCEvaluatedOct 22, 2026
Rank28ModelRABeam 1.0Reflection AIScore76.80%Percentile60.87%Participants70EvidenceCEvaluatedOct 22, 2026
Rank29ModelMIMiniMax M2.5MiniMaxScore76.30%Percentile59.42%Participants70EvidenceCEvaluatedOct 22, 2026
Rank30ModelZAGLM-5Zhipu AIScore75.90%Percentile57.97%Participants70EvidenceCEvaluatedOct 22, 2026

BrowseComp Highlights

The leading models and scores on this benchmark.

BrowseComp Score Distribution

A closer view of the leading scores on this benchmark.

BrowseComp

The Top AI Models for BrowseComp

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is BrowseComp?

What BrowseComp measures and how its scores work.

BrowseComp is a benchmark of 1,266 questions requiring AI agents to search the internet for concise, verifiable answers.

It measures agents' persistence in information gathering, creativity in web navigation, and ability to find concise, verifiable answers.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
BrowseComp
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.

Which model scores highest on BrowseComp?

Atria Dawn Preview is currently ranked first with 92.50%.

What are the top three models on BrowseComp?

The current leaders are Atria Dawn Preview (92.50%), GPT-6 Astra (91.50%), and Kimi K3 (91.20%).

Which BrowseComp model has the lowest official input price?

Step-3.5-Flash has the lowest matched official input price at $0.10 input / $0.30 output per 1M tokens.

Which models are fastest among BrowseComp results?

The fastest matched records are GPT-5.6 Luna (215.52 tok/s via OpenAI), Step-3.5-Flash (150.00 tok/s via StepFun), and o4-mini (115.00 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.

What does BrowseComp measure?

It measures agents' persistence in information gathering, creativity in web navigation, and ability to find concise, verifiable answers.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

70 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.

Rank #1Atria Dawn Preview92.50%
Rank #2GPT-6 Astra91.50%
Rank #3Kimi K391.20%
Rank #4Claude Opus 590.80%

Ranking basisThis browsecomp AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    SA
    Atria Dawn PreviewShanghai AI Laboratory
    Score
    92.50%

    Strengths

    • Ranks #1 of 70 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp, not total model capability
  2. 02
    OP
    GPT-6 AstraOpenAI
    Score
    91.50%
    Price
    $10 input / $50 output per 1M tokens

    Strengths

    • Ranks #2 of 70 compared models
    • 99th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp, not total model capability
  3. 03
    MA
    Moonshot AI
    Score
    91.20%
    Price
    $3.0 input / $15 output per 1M tokens

    Strengths

    • Ranks #3 of 70 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp, not total model capability
  4. 04
    AN
    Anthropic
    Score
    90.80%
    Price
    $5.0 input / $25 output per 1M tokens

    Strengths

    • Ranks #4 of 70 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp, not total model capability
  5. 05
    OP
    OpenAI
    Score
    90.40%
    Price
    $4.0 input / $20 output per 1M tokens
    Speed
    Up to 25.46 tok/s via OpenAI

    Strengths

    • Ranks #5 of 70 compared models
    • 94th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BrowseComp, not total model capability

Selection summary

Best AI Models for BrowseComp

Atria Dawn Preview currently leads BrowseComp with 92.50%. 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.

Kimi K3
Claude Opus 5
GPT-5.6 Sol
Benchmark rank #1Atria Dawn Preview92.50%
Benchmark rank #2GPT-6 Astra91.50% · $10 input / $50 output per 1M tokens
Benchmark rank #3Kimi K391.20% · $3.0 input / $15 output per 1M tokens