knowledge benchmark
VideoSimpleQA Leaderboard
VideoSimpleQA evaluates factual knowledge grounded in video content by assessing answers to short, fact-seeking questions about videos.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
VideoSimpleQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score76.40% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score71.40% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
VideoSimpleQA Highlights
The leading models and scores on this benchmark.
VideoSimpleQA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VideoSimpleQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is VideoSimpleQA?
What VideoSimpleQA measures and how its scores work.
VideoSimpleQA is a knowledge benchmark for factual questions grounded in video content.
It measures how accurately models answer short, fact-seeking questions about videos, using Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VideoSimpleQA
- Modality
- multimodal
- Primary category
- knowledge
- 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 VideoSimpleQA.
Which model scores highest on VideoSimpleQA?
Seed 2.1 Pro is currently ranked first with 76.40%.
What are the top three models on VideoSimpleQA?
The current leaders are Seed 2.1 Pro (76.40%) and Seed 2.1 Turbo (71.40%).
Which VideoSimpleQA model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among VideoSimpleQA results?
No matched runtime record is currently available.
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.