llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

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 Sep 5, 2026

Models28
Model coverage28
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

LVBench Ranking

Higher score ranks better on this benchmark.

28 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 3.8 FlashGoogleScore87.10%Percentile100.00%Participants28EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemini 3.7 FlashGoogleScore85.40%Percentile96.30%Participants28EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore81.80%Percentile92.59%Participants28EvidenceCEvaluatedSep 8, 2026
Rank04ModelBYSeed 2.1 ProByteDanceScore78.00%Percentile88.89%Participants28EvidenceCEvaluatedSep 8, 2026
Rank05ModelBYSeed 2.1 TurboByteDanceScore76.80%Percentile85.19%Participants28EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore76.60%Percentile81.48%Participants28EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore76.60%Percentile77.78%Participants28EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore76.20%Percentile74.07%Participants28EvidenceCEvaluatedSep 8, 2026
Rank09ModelMAKimi K2.5Moonshot AIScore75.90%Percentile70.37%Participants28EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore74.40%Percentile66.67%Participants28EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore73.60%Percentile62.96%Participants28EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore71.40%Percentile59.26%Participants28EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore71.40%Percentile55.56%Participants28EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore67.70%Percentile51.85%Participants28EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore63.80%Percentile48.15%Participants28EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore63.60%Percentile44.44%Participants28EvidenceCEvaluatedSep 8, 2026
Rank17ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore62.60%Percentile40.74%Participants28EvidenceCEvaluatedSep 8, 2026
Rank18ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore62.50%Percentile37.04%Participants28EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore59.20%Percentile33.33%Participants28EvidenceCEvaluatedSep 8, 2026
Rank20ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore58.00%Percentile29.63%Participants28EvidenceCEvaluatedSep 8, 2026
Rank21ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore56.20%Percentile25.93%Participants28EvidenceCEvaluatedSep 8, 2026
Rank22ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore55.80%Percentile22.22%Participants28EvidenceCEvaluatedSep 8, 2026
Rank23ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore53.50%Percentile18.52%Participants28EvidenceCEvaluatedSep 8, 2026
Rank24ModelACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen TeamScore49.00%Percentile14.81%Participants28EvidenceCEvaluatedSep 8, 2026
Rank25ModelACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen TeamScore47.30%Percentile11.11%Participants28EvidenceCEvaluatedSep 8, 2026
Rank26ModelACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen TeamScore45.30%Percentile7.41%Participants28EvidenceCEvaluatedSep 8, 2026
Rank27ModelAMNova ProAmazonScore41.60%Percentile3.70%Participants28EvidenceCEvaluatedSep 8, 2026
Rank28ModelAMNova LiteAmazonScore40.40%Percentile0.00%Participants28EvidenceCEvaluatedSep 8, 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 3.8 Flash is currently ranked first with 87.10%.

What are the top three models on LVBench?

The current leaders are Gemini 3.8 Flash (87.10%), Gemini 3.7 Flash (85.40%), and Qwen3.8 Max (81.80%).

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 (117.86 tok/s via Google), Qwen3.8 Max (60.87 tok/s via DeepInfra), and Gemini 3.8 Flash (51.56 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?

28 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 3.8 Flash87.10%
Rank #2Gemini 3.7 Flash85.40%
Rank #3Qwen3.8 Max81.80%
Rank #4Seed 2.1 Pro78.00%

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 3.8 FlashGoogle
    Score
    87.10%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 51.56 tok/s via Google

    Strengths

    • Ranks #1 of 28 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  2. 02
    GO
    Gemini 3.7 FlashGoogle
    Score
    85.40%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 117.86 tok/s via Google

    Strengths

    • Ranks #2 of 28 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    81.80%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 60.87 tok/s via DeepInfra

    Strengths

    • Ranks #3 of 28 compared models
    • 93th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  4. 04
    BY
    ByteDance
    Score
    78.00%

    Strengths

    • Ranks #4 of 28 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability
  5. 05
    BY
    ByteDance
    Score
    76.80%

    Strengths

    • Ranks #5 of 28 compared models
    • 85th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LVBench, not total model capability

Selection summary

Best AI Models for LVBench

Gemini 3.8 Flash currently leads LVBench with 87.10%. 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.

Qwen3.8 Max
Seed 2.1 Pro
Seed 2.1 Turbo
Benchmark rank #1Gemini 3.8 Flash87.10% · $0.75 input / $3.8 output per 1M tokens
Benchmark rank #2Gemini 3.7 Flash85.40% · $0.75 input / $3.8 output per 1M tokens
Benchmark rank #3Qwen3.8 Max81.80% · $2.0 input / $6.0 output per 1M tokens