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reasoning benchmark

WideSearch Leaderboard

WideSearch is a reasoning benchmark for evaluating broad, parallel search across multiple sources.

Updated Sep 5, 2026

Models11
Model coverage11
MetricScore
EvidenceB

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WideSearch Ranking

Higher score ranks better on this benchmark.

11 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelTEHy4 previewTencentScore83.90%Percentile100.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore81.90%Percentile90.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank03ModelMAKimi K2.6Moonshot AIScore80.80%Percentile80.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank04ModelMAKimi K2.5Moonshot AIScore79.00%Percentile70.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank05ModelTEHy3TencentScore76.40%Percentile60.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore74.30%Percentile50.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore74.00%Percentile40.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore61.10%Percentile30.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore60.50%Percentile20.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore60.10%Percentile10.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore57.10%Percentile0.00%Participants11EvidenceCEvaluatedSep 8, 2026

WideSearch Highlights

The leading models and scores on this benchmark.

WideSearch Score Distribution

A closer view of the leading scores on this benchmark.

WideSearch

The Top AI Models for WideSearch

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

What is WideSearch?

What WideSearch measures and how its scores work.

WideSearch is an agentic search benchmark.

It measures models' ability to perform broad, parallel search operations across multiple sources, including wide-coverage information retrieval and synthesis.

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

Family
WideSearch
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 WideSearch.

Which model scores highest on WideSearch?

Hy4 preview is currently ranked first with 83.90%.

What are the top three models on WideSearch?

The current leaders are Hy4 preview (83.90%), Qwen3.8 Max (81.90%), and Kimi K2.6 (80.80%).

Which WideSearch model has the lowest official input price?

Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.

Which models are fastest among WideSearch results?

The fastest matched records are Qwen3.8 Max (60.87 tok/s via DeepInfra) and Kimi K2.6 (1.24 tok/s via Moonshot AI).

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 WideSearch measure?

It measures models' ability to perform broad, parallel search operations across multiple sources, including wide-coverage information retrieval and synthesis.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

11 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 #1Hy4 preview83.90%
Rank #2Qwen3.8 Max81.90%
Rank #3Kimi K2.680.80%
Rank #4Kimi K2.579.00%

Ranking basisThis widesearch 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
    TE
    Hy4 previewTencent
    Score
    83.90%

    Strengths

    • Ranks #1 of 11 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WideSearch, not total model capability
  2. 02
    AC
    Qwen3.8 MaxAlibaba Cloud / Qwen Team
    Score
    81.90%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 60.87 tok/s via DeepInfra

    Strengths

    • Ranks #2 of 11 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WideSearch, not total model capability
  3. 03
    MA
    Moonshot AI
    Score
    80.80%
    Price
    $0.95 input / $4.0 output per 1M tokens
    Speed
    Up to 1.24 tok/s via Moonshot AI

    Strengths

    • Ranks #3 of 11 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WideSearch, not total model capability
  4. 04
    MA
    Moonshot AI
    Score
    79.00%

    Strengths

    • Ranks #4 of 11 compared models
    • 70th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WideSearch, not total model capability
  5. 05
    TE
    Tencent
    Score
    76.40%

    Strengths

    • Ranks #5 of 11 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WideSearch, not total model capability

Selection summary

Best AI Models for WideSearch

Hy4 preview currently leads WideSearch with 83.90%. 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 K2.6
Kimi K2.5
Hy3
Benchmark rank #1Hy4 preview83.90%
Benchmark rank #2Qwen3.8 Max81.90% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #3Kimi K2.680.80% · $0.95 input / $4.0 output per 1M tokens