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long context benchmark

LVBench Leaderboard

LVBench evaluates multimodal models' understanding of videos up to two hours in duration across 6 major categories and 21 subcategories.

Updated Oct 23, 2026

Models31
Model coverage31
MetricScore
EvidenceB

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LVBench Ranking

Higher score ranks better on this benchmark.

30 of 31 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 4 ArgonGoogleScore91.70%Percentile100.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank02ModelGOGemini 3.8 FlashGoogleScore87.10%Percentile96.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank03ModelGOGemini 3.7 FlashGoogleScore85.40%Percentile93.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank04ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore81.80%Percentile90.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank05ModelBYSeed 2.1 ProByteDanceScore78.00%Percentile86.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank06ModelBYSeed 2.1 TurboByteDanceScore76.80%Percentile83.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank07ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore76.60%Percentile80.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank08ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore76.60%Percentile76.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank09ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore76.20%Percentile73.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank10ModelMAKimi K2.5Moonshot AIScore75.90%Percentile70.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank11ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore74.40%Percentile66.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank12ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore73.60%Percentile63.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank13ModelBYSeed 1.8ByteDanceScore73.00%Percentile60.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank14ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore71.40%Percentile56.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank15ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore71.40%Percentile53.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank16ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore67.70%Percentile50.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank17ModelBYSeed 2.0 MiniByteDanceScore66.60%Percentile46.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank18ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore63.80%Percentile43.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank19ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore63.60%Percentile40.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank20ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore62.60%Percentile36.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank21ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore62.50%Percentile33.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank22ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore59.20%Percentile30.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank23ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore58.00%Percentile26.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank24ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore56.20%Percentile23.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank25ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore55.80%Percentile20.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank26ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore53.50%Percentile16.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank27ModelACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen TeamScore49.00%Percentile13.33%Participants31EvidenceCEvaluatedOct 22, 2026
Rank28ModelACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen TeamScore47.30%Percentile10.00%Participants31EvidenceCEvaluatedOct 22, 2026
Rank29ModelACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen TeamScore45.30%Percentile6.67%Participants31EvidenceCEvaluatedOct 22, 2026
Rank30ModelAMNova ProAmazonScore41.60%Percentile3.33%Participants31EvidenceCEvaluatedOct 22, 2026

LVBench Highlights

The leading models and scores on this benchmark.

LVBench Score Distribution

A closer view of the leading scores on this benchmark.

LVBench

The Top AI Models for LVBench

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

What is LVBench?

What LVBench measures and how its scores work.

LVBench is an extreme long video understanding benchmark for multimodal models, with videos averaging five times longer than existing datasets.

It measures video understanding on videos up to two hours in duration using the Score metric, reported as a ratio.

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

Family
LVBench
Modality
multimodal
Primary category
long context
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 LVBench.

Which model scores highest on LVBench?

Gemini 4 Argon is currently ranked first with 91.70%.

What are the top three models on LVBench?

The current leaders are Gemini 4 Argon (91.70%), Gemini 3.8 Flash (87.10%), and Gemini 3.7 Flash (85.40%).

Which LVBench model has the lowest official input price?

Nova Lite has the lowest matched official input price at $0.06 input / $0.24 output per 1M tokens.

Which models are fastest among LVBench results?

The fastest matched records are Gemini 3.7 Flash (409.96 tok/s via Google) and Gemini 3.8 Flash (55.66 tok/s via Google).

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 LVBench measure?

It measures video understanding on videos up to two hours in duration using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

31 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 #1Gemini 4 Argon91.70%
Rank #2Gemini 3.8 Flash87.10%
Rank #3Gemini 3.7 Flash85.40%
Rank #4Qwen3.8 Max81.80%

Ranking basisThis lvbench 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
    GO
    Gemini 4 ArgonGoogle
    Score
    91.70%
    Price
    $2.0 input / $10 output per 1M tokens

    Strengths

    • Ranks #1 of 31 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  2. 02
    GO
    Gemini 3.8 FlashGoogle
    Score
    87.10%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 55.66 tok/s via Google

    Strengths

    • Ranks #2 of 31 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  3. 03
    GO
    Google
    Score
    85.40%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 409.96 tok/s via Google

    Strengths

    • Ranks #3 of 31 compared models
    • 93th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    81.80%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

    • Ranks #4 of 31 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  5. 05
    BY
    ByteDance
    Score
    78.00%

    Strengths

    • Ranks #5 of 31 compared models
    • 87th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability

Selection summary

Best AI Models for LVBench

Gemini 4 Argon currently leads LVBench with 91.70%. 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.

Gemini 3.7 Flash
Qwen3.8 Max
Seed 2.1 Pro
Benchmark rank #1Gemini 4 Argon91.70% · $2.0 input / $10 output per 1M tokens
Benchmark rank #2Gemini 3.8 Flash87.10% · $0.75 input / $3.8 output per 1M tokens
Benchmark rank #3Gemini 3.7 Flash85.40% · $0.75 input / $3.8 output per 1M tokens