Best AI model for cinematic video
Moody establishing shots, travel and nature b-roll with real camera movement.
Early result: 4 prompts per video task. See the all-video ranking for the stronger signal.
Best for cinematic video
Wan 2.7
- 57%chance of ranking first
- Seedance 2.5runner-up
Judge's most likely first pick; first on 3 of 4 requests.
Judge agreement 0.85
Tested requests, made with Wan 2.7
-
Ocean waves crashing against black volcanic rocks, slow motion spray, overcast moody sky, low camera angle, film look
-
cozy cabin interior with a fireplace, snow falling outside the window, camera slowly pushes in toward the window, warm light, travel b-roll
-
Drone shot rising over a misty pine forest at sunrise, revealing a calm lake and mountains behind, golden light, cinematic
-
neon lit city street at night in the rain, reflections on the wet road, camera slowly tracking forward past people with umbrellas
All 5 models, ranked
Strength is the Plackett–Luce rating fitted to the judge's rankings, centred at 0; the bar is the 95% bootstrap interval. Overlapping bars mean a tie.
| # | Model | Strength | Ranks first | Prompt match | Looks | Credits per clipCredits |
|---|---|---|---|---|---|---|
| 1 | Wan 2.7 |
|
57% | 34.6 | 6.00 | 15 |
| 2 | Seedance 2.5 |
|
14% | 35.8 | 5.64 | 35 |
| 3 | Veo 3.1 |
|
14% | 34.8 | 5.44 | 48 |
| 4 | Kling V3 |
|
8% | 35.4 | 5.55 | 20 |
| 5 | Veo 3.1 Fast |
|
7% | 34.9 | 5.53 | 12 |
Narrow screens hide prompt match and looks, and show credits under each model name. Credits per clip are Picsart's own estimate on the benchmark settings.
Best for
Computed from the benchmark data, not written by hand.
Wins the most requests
3 of 4 first picks for Wan 2.7; 3 models won at least one.
Follows the prompt most closely
35.8 mean CLIP similarity: Seedance 2.5, closest to the prompt.
Looks best to the aesthetic model
6.00 of 10 on the aesthetic predictor: Wan 2.7.
Most consistent of the top four
±2.36 log-strength: Wan 2.7 has the narrowest error bar of the top four.
How stable the judge was
0.85 Kendall tau between two shuffled judge runs (1 identical, 0 unrelated).
What the judge saw
We judge three frames per clip: lighting, realism, and whether the scene stays consistent from frame to frame. Best first; the judge saw them shuffled and unlabelled.
-
Drone shot rising over a misty pine forest at sunrise, revealing a calm lake and mountains behind, golden light, cinematic
- Seedance 2.5 judge 1.5
- Wan 2.7 judge 1.5
- Kling V3 judge 3.0
- Veo 3.1 judge 4.0
- Veo 3.1 Fast judge 5.0
-
neon lit city street at night in the rain, reflections on the wet road, camera slowly tracking forward past people with umbrellas
- Veo 3.1 judge 1.0
- Veo 3.1 Fast judge 2.0
- Wan 2.7 judge 3.0
- Seedance 2.5 judge 4.0
- Kling V3 judge 5.0
-
Ocean waves crashing against black volcanic rocks, slow motion spray, overcast moody sky, low camera angle, film look
- Wan 2.7 judge 1.0
- Veo 3.1 Fast judge 2.0
- Veo 3.1 judge 3.0
- Seedance 2.5 judge 4.5
- Kling V3 judge 4.5
How this was measured
- Same requests. 4 cinematic scene prompts, written like real users write, sent to 5 video models from Picsart's AI Playground.
- Blind judge, twice. An AI judge ranked each request's clips without model names, from three frames per clip (at 25, 50 and 75%), then again reshuffled. It does not see motion or hear sound.
- Error bars. Plackett–Luce ratings bootstrapped over requests; CLIP and an aesthetic predictor on the same three frames shown as checks.
Questions people ask
- Which AI model is best for cinematic video?
- Wan 2.7 (Alibaba): 57% chance of ranking first on 4 cinematic video requests, ahead of Seedance 2.5 at 14%, out of 5 video models tested the same way.
- Is Seedance 2.5 as good as Wan 2.7 for cinematic video?
- Close: their 95% error bars overlap (Wan 2.7 +0.46 to +5.18, Seedance 2.5 -3.59 to +3.12 log-strength), so on 4 requests Wan 2.7 is only the more likely winner.
- How was the best model for cinematic video measured?
- Same 4 requests to every model; a blind AI judge ranked the outputs twice, shuffled (agreement between runs: Kendall tau 0.85, where 1 is an identical order and 0 unrelated); Plackett-Luce ratings with 95% bootstrap error bars, CLIP and aesthetic scores as checks.