multimodal benchmark
VideoMME w sub.
The first-ever comprehensive evaluation benchmark of Multi-modal LLMs in Video analysis. Features 900 videos (254 hours) with 2,700 question-answer pairs covering 6 primary visual domains and 30 subfields. Evaluates temporal understanding across short (11 seconds) to long (1 hour) videos with multi-modal inputs including video frames, subtitles, and audio.
Updated Aug 11, 2026
Models10
Model coverage10
MetricScore
EvidenceB
VideoMME w sub. Ranking
Higher score ranks better on this benchmark.
| 1 | AC | 90.4% | 100.0% | 10 | C | |
| 2 | AC | 87.7% | 88.9% | 10 | C | |
| 3 | AC | 87.3% | 77.8% | 10 | C | |
| 4 | AC | 87.0% | 66.7% | 10 | C | |
| 5 | OP | 86.7% | 55.6% | 10 | C | |
| 6 | AC | 86.6% | 44.4% | 10 | C | |
| 7 | AC | 86.6% | 33.3% | 10 | C | |
| 8 | AC | 77.9% | 22.2% | 10 | C | |
| 9 | AC | 72.4% | 11.1% | 10 | C | |
| 10 | AC | 71.6% | 0.0% | 10 | C |
VideoMME w sub. Score Distribution
A closer view of the leading scores on this benchmark.
VideoMME w sub. Highlights
The leading models and scores on this benchmark.
What is VideoMME w sub.?
What VideoMME w sub. measures and how its scores work.
The first-ever comprehensive evaluation benchmark of Multi-modal LLMs in Video analysis. Features 900 videos (254 hours) with 2,700 question-answer pairs covering 6 primary visual domains and 30 subfields. Evaluates temporal understanding across short (11 seconds) to long (1 hour) videos with multi-modal inputs including video frames, subtitles, and audio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VideoMME w sub.
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- videomme-w-sub.|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about VideoMME w sub..
Which model scores highest on VideoMME w sub.?
Qwen3.8 Max is currently ranked first with 90.4%.
What does VideoMME w sub. measure?
The first-ever comprehensive evaluation benchmark of Multi-modal LLMs in Video analysis. Features 900 videos (254 hours) with 2,700 question-answer pairs covering 6 primary visual domains and 30 subfields. Evaluates temporal understanding across short (11 seconds) to long (1 hour) videos with multi-modal inputs including video frames, subtitles, and audio.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
10 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.