multimodal benchmark
Video-MME (long, no subtitles) Leaderboard
Video-MME is the first-ever comprehensive evaluation benchmark for Multi-modal Large Language Models (MLLMs) in video analysis. This variant focuses on long-term videos (30min-60min) without subtitle inputs, testing robust contextual dynamics across 6 primary visual domains with 30 subfields including knowledge, film & television, sports competition, life record, and multilingual content.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Video-MME (long, no subtitles) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score72.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
Video-MME (long, no subtitles) Highlights
The leading models and scores on this benchmark.
The Top AI Models for Video-MME (long, no subtitles)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis video-mme (long, no subtitles) AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPGPT-4.1OpenAI
- Score
- 72.0%
- Price
- $2.0 input / $8.0 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Video-MME (long, no subtitles), not total model capability
Selection summary
Best AI Models for Video-MME (long, no subtitles)
GPT-4.1 currently leads Video-MME (long, no subtitles) with 72.0%. 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.
What is Video-MME (long, no subtitles)?
What Video-MME (long, no subtitles) measures and how its scores work.
Video-MME is the first-ever comprehensive evaluation benchmark for Multi-modal Large Language Models (MLLMs) in video analysis. This variant focuses on long-term videos (30min-60min) without subtitle inputs, testing robust contextual dynamics across 6 primary visual domains with 30 subfields including knowledge, film & television, sports competition, life record, and multilingual content.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Video-MME (long, no subtitles)
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- video-mme-(long,-no-subtitles)|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Video-MME (long, no subtitles).
Which model scores highest on Video-MME (long, no subtitles)?
GPT-4.1 is currently ranked first with 72.0%.
What does Video-MME (long, no subtitles) measure?
Video-MME is the first-ever comprehensive evaluation benchmark for Multi-modal Large Language Models (MLLMs) in video analysis. This variant focuses on long-term videos (30min-60min) without subtitle inputs, testing robust contextual dynamics across 6 primary visual domains with 30 subfields including knowledge, film & television, sports competition, life record, and multilingual content.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.