Movie Gen Video Bench
Video generation models make clips from a fixed prompt set, and people compare them. Meta released non-cherry-picked Movie Gen videos for comparison.
Described in section 3.5.2 of the Movie Gen technical report.
- Made by
- Meta
- Released
- October 2024
- Kind
- Video generation
- Level
- Everyday
- Scored
- Graded by people
- Answers
- Open-ended
- Tasks
- All public
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Movie Gen Video Bench yet.
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Audio and video
- Video-MMMU In use 300 expert-level lecture videos with questions testing perception, comprehension and adaptation of knowledge. Accuracy.
Qwen 3.8 Max 88.7% - LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization.
Gemini 4 Argon 91.7% - MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
- MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
- FLEURS In use Models transcribe read speech in 102 languages built from FLoRes-101 sentences. Model cards usually report word error rate, so lower scores are better.
Phi-4-multimodal 4.00% - VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%