multimodal benchmark
QVHighlights is a multimodal video moment retrieval benchmark that uses natural language queries to identify relevant moments and highlights in videos.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM | Score77.20% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAM | Score76.70% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAM | Score76.70% | Percentile0.00% | Participants3 | 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 QVHighlights measures and how its scores work.
QVHighlights is a video moment retrieval benchmark in which a model localizes the start and end times of moments relevant to a natural language query.
It measures the localization of relevant video moments using metrics such as Recall@1 at a 0.5 IoU threshold.
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 QVHighlights.
Nova 2 Lite is currently ranked first with 77.20%.
The current leaders are Nova 2 Lite (77.20%), Nova 2 Omni (76.70%), and Nova 2 Pro (76.70%).
Nova 2 Lite has the lowest matched official input price at $0.33 input / $2.8 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures the localization of relevant video moments using metrics such as Recall@1 at a 0.5 IoU threshold.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis qvhighlights 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
Nova 2 Lite currently leads QVHighlights with 77.20%. 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.