multimodal benchmark
VideoMME w/o sub. Leaderboard
VideoMME w/o sub. is a multimodal video-analysis benchmark with 900 videos and 2,700 question-answer pairs.
Updated Sep 5, 2026
Models10
Model coverage10
MetricScore
EvidenceB
VideoMME w/o sub. Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score83.90% | Percentile100.00% | Participants10 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score82.80% | Percentile88.89% | Participants10 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score82.50% | Percentile77.78% | Participants10 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score82.50% | Percentile66.67% | Participants10 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score79.20% | Percentile55.56% | Participants10 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score79.00% | Percentile44.44% | Participants10 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score77.30% | Percentile33.33% | Participants10 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score73.30% | Percentile22.22% | Participants10 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score70.50% | Percentile11.11% | Participants10 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score65.10% | Percentile0.00% | Participants10 | EvidenceC | Evaluated |
VideoMME w/o sub. Highlights
The leading models and scores on this benchmark.
VideoMME w/o sub. Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VideoMME w/o sub.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is VideoMME w/o sub.?
What VideoMME w/o sub. measures and how its scores work.
VideoMME w/o sub. evaluates multi-modal large language models using videos across 6 primary visual domains and 30 subfields, with durations ranging from 11 seconds to 1 hour.
It measures MLLMs' capabilities in processing sequential visual data and multi-modal content, including video frames, subtitles, and audio, 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
- VideoMME w/o sub.
- Modality
- multimodal
- Primary category
- multimodal
- 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 VideoMME w/o sub..
Which model scores highest on VideoMME w/o sub.?
Qwen3.5-122B-A10B is currently ranked first with 83.90%.
What are the top three models on VideoMME w/o sub.?
The current leaders are Qwen3.5-122B-A10B (83.90%), Qwen3.5-27B (82.80%), and Qwen3.5-35B-A3B (82.50%).
Which VideoMME w/o sub. model has the lowest official input price?
Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.
Which models are fastest among VideoMME w/o sub. 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.