multimodal benchmark
Video-MME (long, no subtitles) Leaderboard
Video-MME (long, no subtitles) evaluates Multi-modal Large Language Models in video analysis using 30-minute to 60-minute videos without subtitle inputs.
Updated Sep 5, 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 | Score72.00% | Percentile100.00% | 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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPOpenAI
- Score
- 72.00%
- Price
- $2.0 input / $8.0 output per 1M tokens
- Speed
- Up to 100.00 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 72.00%. 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 a multimodal benchmark for evaluating Multi-modal Large Language Models in video analysis.
This variant measures performance on long-term videos without subtitle inputs across 6 primary visual domains and 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
- overall
LLM Stats. 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 72.00%.
What are the top three models on Video-MME (long, no subtitles)?
The current leaders are GPT-4.1 (72.00%).
Which Video-MME (long, no subtitles) model has the lowest official input price?
GPT-4.1 has the lowest matched official input price at $2.0 input / $8.0 output per 1M tokens.
Which models are fastest among Video-MME (long, no subtitles) results?
The fastest matched records are GPT-4.1 (100.00 tok/s via OpenAI).
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.