How long should an AI-generated video be? We analyzed 36,388 videos created by Agent Opus users to find out. Here's what the data says about optimal AI video length, scene counts, and how length varies by niche.
| Duration | Videos | % of Total | Avg Length | Avg Scenes |
|---|---|---|---|---|
| 0-15s | 963 | 2.6% | 11s | 2.3 |
| 15-30s | 5,122 | 14.1% | 23s | 4.4 |
| 30-60s | 19,710 | 54.2% | 42s | 6.8 |
| 60-90s | 5,391 | 14.8% | 1 min 12s | 11.3 |
| 90-120s | 3,490 | 9.6% | 1 min 44s | 15.6 |
| 120s+ | 1,712 | 4.7% | 2 min 23s | 20.7 |
| Niche | Duration | Videos | % of Niche |
|---|---|---|---|
| Finance & Commerce | 0-15s | 206 | 2.9% |
| Finance & Commerce | 15-30s | 728 | 10.4% |
| Finance & Commerce | 30-60s | 3,776 | 54.0% |
| Finance & Commerce | 60-90s | 1,137 | 16.3% |
| Finance & Commerce | 90-120s | 708 | 10.1% |
| Finance & Commerce | 120s+ | 441 | 6.3% |
| Lifestyle & Aesthetic | 0-15s | 219 | 3.9% |
| Lifestyle & Aesthetic | 15-30s | 2,151 | 38.6% |
| Lifestyle & Aesthetic | 30-60s | 2,444 | 43.9% |
| Lifestyle & Aesthetic | 60-90s | 373 | 6.7% |
| Lifestyle & Aesthetic | 90-120s | 279 | 5.0% |
| Lifestyle & Aesthetic | 120s+ | 104 | 1.9% |
| Narrative & Documentary | 0-15s | 131 | 1.3% |
| Narrative & Documentary | 15-30s | 791 | 7.7% |
| Narrative & Documentary | 30-60s | 5,688 | 55.7% |
| Narrative & Documentary | 60-90s | 1,587 | 15.5% |
| Narrative & Documentary | 90-120s | 1,285 | 12.6% |
| Narrative & Documentary | 120s+ | 725 | 7.1% |
| Tech & Innovation | 0-15s | 109 | 2.7% |
| Tech & Innovation | 15-30s | 327 | 8.2% |
| Tech & Innovation | 30-60s | 2,212 | 55.2% |
| Tech & Innovation | 60-90s | 634 | 15.8% |
| Tech & Innovation | 90-120s | 512 | 12.8% |
| Tech & Innovation | 120s+ | 215 | 5.4% |
| Trends & Commentary | 0-15s | 230 | 3.4% |
| Trends & Commentary | 15-30s | 947 | 13.9% |
| Trends & Commentary | 30-60s | 4,103 | 60.2% |
| Trends & Commentary | 60-90s | 805 | 11.8% |
| Trends & Commentary | 90-120s | 555 | 8.1% |
| Trends & Commentary | 120s+ | 180 | 2.6% |
Choosing the right starting input or approach changes both the workflow and the final video. Here's how average ai video length (2026 data) compares to the most common alternatives.
Pick industry benchmarks from third parties when: you need cross-platform data spanning many creator tools, not just AI video.
Tradeoff: Less granular about AI-video-specific workflows; slower to refresh.
Pick your own analytics when: you want private baselines for your own accounts and content niches.
Tradeoff: Sample size is small; hard to know what 'normal' looks like across the industry.
These practices come from what works across the Agent Opus sample — tactical moves that measurably improve completion, engagement, and output quality.
Averages skew high from outliers. The sampled median AI video length is 43s — that's the number to design for, not the 54s average.
Your worst-performing videos carry valuable signal. Look at the bottom 10% and ask what they share — it's often an easier win than chasing the top.
If the average successful video is 54 seconds with 8 scenes, that doesn't mean yours should be. Use benchmarks to understand norms, then break them deliberately when it serves the story.
Benchmark numbers are averages over many niches. Educational explainers run longer than entertainment clips. Filter by your segment before acting.
Public benchmarks are a map; your own numbers are the territory. Compare to both — industry tells you what's possible, your data tells you what's working.
AI video patterns shift fast but not weekly-fast. Quarterly reviews give you signal without noise.
The hidden cost of video isn't the render — it's decision-making. Measure how long it takes you from brief to published, and optimize there first. Agent Opus's sampled median creation time is ~26 minutes; most teams' real bottleneck is the 20 minutes of decisions before they click generate.
Your single best video is a closer benchmark than any industry average — it tells you what's possible with your audience. Reverse-engineer what made it work and try to reproduce it.
'How my metrics compare to industry benchmarks' is a perennial high-performing content angle. Share your numbers openly and you'll attract peers, clients, and follow-on content opportunities.
Based on 36,388 Agent Opus projects, the average AI video is 54s long. The median is 43s.
The 30-60 second bracket is the most popular, followed by 15-30 seconds. Most AI videos are designed for social media consumption.
The average is 8.5 scenes and 20.2 shots per video.
Only 10% of videos exceed 1 min 42s. Shorter, focused videos tend to perform better on social platforms.
Yes — educational and documentary-style videos tend to be longer, while marketing and social content skews shorter.
The numbers on this page come from a sample of Agent Opus projects created between January 14 and February 23, 2026. Data is aggregated and anonymized — no individual user is identifiable.
Benchmark pages refresh quarterly as new usage windows roll in. The last update is shown in the methodology section.
Aggregated stats are published here. Raw project-level data is not available for privacy reasons.
These numbers describe the Agent Opus sample specifically. They are a useful proxy for AI video generation at large but should not be read as industry-wide benchmarks.
AI video usage has a long tail — a small number of unusually long or high-scene videos pull the average up. The median is closer to a typical creator's experience.
Yes — please cite 'Agent Opus Research' and the URL of this page, and include the data window (Jan–Feb 2026).
Key terms used on this page. Each links to the related Agent Opus research hub page where we dig into the data.
Explore more research: AI Creation Time | AI Video Niches | AI Video Styles | Avatar Stats | Asset Mix Stats | Image to AI Video
Sample: This analysis is based on a sample of 36,388 AI videos created by 11,416 Agent Opus users between 2026-01-14 and 2026-02-23. Numbers on this page reflect this sample window and are not a census of all Agent Opus activity.
Analysis: Aggregated and anonymized by the Agent Opus data team — no individual user data is exposed. Stats are rounded to one decimal place; duration figures are in seconds unless noted.
Limitations: The sample covers a six-week window so seasonal or year-over-year effects are not captured. Feature adoption rates reflect voluntary opt-in behavior during the window.
Update cadence: Refreshed quarterly. Last updated April 2026.
Author: Agent Opus Research — opus.pro/agent