long context benchmark
LVBench evaluates multimodal models' understanding of videos up to two hours in duration across 6 major categories and 21 subcategories.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score87.10% | Percentile100.00% | Participants28 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score85.40% | Percentile96.30% | Participants28 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score81.80% | Percentile92.59% | Participants28 | EvidenceC | Evaluated |
| Rank04 | ModelBY | Score78.00% | Percentile88.89% | Participants28 | EvidenceC | Evaluated |
| Rank05 | ModelBY | Score76.80% | Percentile85.19% | Participants28 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score76.60% | Percentile81.48% | Participants28 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score76.60% | Percentile77.78% | Participants28 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score76.20% | Percentile74.07% | Participants28 | EvidenceC | Evaluated |
| Rank09 | ModelMA | Score75.90% | Percentile70.37% | Participants28 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score74.40% | Percentile66.67% | Participants28 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score73.60% | Percentile62.96% | Participants28 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score71.40% | Percentile59.26% | Participants28 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score71.40% | Percentile55.56% | Participants28 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score67.70% | Percentile51.85% | Participants28 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score63.80% | Percentile48.15% | Participants28 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score63.60% | Percentile44.44% | Participants28 | EvidenceC | Evaluated |
| Rank17 | ModelAC | Score62.60% | Percentile40.74% | Participants28 | EvidenceC | Evaluated |
| Rank18 | ModelAC | Score62.50% | Percentile37.04% | Participants28 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score59.20% | Percentile33.33% | Participants28 | EvidenceC | Evaluated |
| Rank20 | ModelAC | Score58.00% | Percentile29.63% | Participants28 | EvidenceC | Evaluated |
| Rank21 | ModelAC | Score56.20% | Percentile25.93% | Participants28 | EvidenceC | Evaluated |
| Rank22 | ModelAC | Score55.80% | Percentile22.22% | Participants28 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score53.50% | Percentile18.52% | Participants28 | EvidenceC | Evaluated |
| Rank24 | ModelAC | Score49.00% | Percentile14.81% | Participants28 | EvidenceC | Evaluated |
| Rank25 | ModelAC | Score47.30% | Percentile11.11% | Participants28 | EvidenceC | Evaluated |
| Rank26 | ModelAC | Score45.30% | Percentile7.41% | Participants28 | EvidenceC | Evaluated |
| Rank27 | ModelAM | Score41.60% | Percentile3.70% | Participants28 | EvidenceC | Evaluated |
| Rank28 | ModelAM | Score40.40% | Percentile0.00% | Participants28 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
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.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about LVBench.
Gemini 3.8 Flash is currently ranked first with 87.10%.
The current leaders are Gemini 3.8 Flash (87.10%), Gemini 3.7 Flash (85.40%), and Qwen3.8 Max (81.80%).
Nova Lite has the lowest matched official input price at $0.06 input / $0.24 output per 1M tokens.
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).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures video understanding on videos up to two hours in duration using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
28 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
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.
Selection summary
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.