Best AI model for video
Every video prompt pooled.
All 16 video prompts from 4 video tasks, rated together: each task alone has only 4 prompts. Per task: Product video, Cinematic scene, Animated character, People in motion.
Best for video
Wan 2.7
- 33%chance of ranking first
- Seedance 2.5runner-up
Judge's most likely first pick; first on 7 of 16 requests.
Judge agreement 0.70
Tested requests, made with Wan 2.7
-
iced coffee being poured into a tall glass full of ice, milk swirling into the coffee, close up, bright cafe window light, slow motion
-
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
-
three friends laughing together at an outdoor cafe table, one tells a story with hand gestures, golden hour, candid lifestyle video
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 |
|
33% | 35.1 | 5.67 | 15 |
| 2 | Seedance 2.5 |
|
19% | 36.1 | 5.49 | 35 |
| 3 | Kling V3 |
|
17% | 36.6 | 5.33 | 20 |
| 4 | Veo 3.1 Fast |
|
17% | 36.0 | 5.40 | 12 |
| 5 | Veo 3.1 |
|
15% | 35.8 | 5.33 | 48 |
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
7 of 16 first picks for Wan 2.7; 5 models won at least one.
Follows the prompt most closely
36.6 mean CLIP similarity: Kling V3, closest to the prompt.
Looks best to the aesthetic model
5.67 of 10 on the aesthetic predictor: Wan 2.7.
Most consistent of the top four
±0.31 log-strength: Seedance 2.5 has the narrowest error bar of the top four.
How stable the judge was
0.70 Kendall tau between two shuffled judge runs (1 identical, 0 unrelated).
What the judge saw
Every clip from the 4 video tasks. Best first; the judge saw them shuffled and unlabelled.
-
A matte black wireless earbud case slowly opening on a glossy black surface, the earbuds rising out with a soft blue glow, slow orbit camera, premium tech ad
- Seedance 2.5 judge 1.0
- Wan 2.7 judge 2.5
- Veo 3.1 Fast judge 2.5
- Veo 3.1 judge 4.0
- Kling V3 judge 5.0
-
iced coffee being poured into a tall glass full of ice, milk swirling into the coffee, close up, bright cafe window light, slow motion
- Wan 2.7 judge 1.0
- Kling V3 judge 2.0
- Seedance 2.5 judge 3.0
- Veo 3.1 judge 4.5
- Veo 3.1 Fast judge 4.5
-
Rotating 360 product shot of a pink lipstick standing on a marble pedestal, petals falling slowly around it, soft studio lighting
- Kling V3 judge 1.0
- Veo 3.1 judge 2.5
- Veo 3.1 Fast judge 2.5
- Seedance 2.5 judge 4.0
- Wan 2.7 judge 5.0
Show the other 13 requests
-
a person's hand picks up a white running shoe from a concrete step and turns it to show the side, morning sunlight, handheld camera, shoe ad
- Wan 2.7 judge 1.5
- Seedance 2.5 judge 2.0
- Kling V3 judge 2.5
- Veo 3.1 judge 4.5
- Veo 3.1 Fast judge 4.5
-
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
-
cozy cabin interior with a fireplace, snow falling outside the window, camera slowly pushes in toward the window, warm light, travel b-roll
- Wan 2.7 judge 1.0
- Seedance 2.5 judge 2.5
- Kling V3 judge 2.5
- Veo 3.1 judge 4.0
- Veo 3.1 Fast judge 5.0
-
A cute round orange cat mascot in 3D cartoon style waves at the camera, then jumps happily, bright pastel background, smooth animated movie look
- Veo 3.1 judge 1.0
- Wan 2.7 judge 2.0
- Veo 3.1 Fast judge 3.0
- Seedance 2.5 judge 4.0
- Kling V3 judge 5.0
-
anime girl with short blue hair standing on a rooftop at sunset, wind blowing her hair and jacket, she turns and smiles, cherry blossom petals flying
- Veo 3.1 Fast judge 1.0
- Kling V3 judge 2.0
- Seedance 2.5 judge 3.5
- Wan 2.7 judge 3.5
- Veo 3.1 judge 5.0
-
Claymation style little robot walking through a tiny garden, looking curiously at a giant ladybug, stop motion look
- Veo 3.1 judge 1.5
- Veo 3.1 Fast judge 1.5
- Kling V3 judge 3.5
- Wan 2.7 judge 3.5
- Seedance 2.5 judge 5.0
-
a friendly green dragon in a hand drawn 2D cartoon style flapping its wings and flying over a village, simple flat colors
- Veo 3.1 judge 1.0
- Wan 2.7 judge 2.0
- Veo 3.1 Fast judge 3.5
- Kling V3 judge 4.0
- Seedance 2.5 judge 4.5
-
A young woman dancing freely in a sunlit living room, loose white shirt, joyful, handheld camera, natural colors, social media video
- Wan 2.7 judge 1.5
- Kling V3 judge 2.0
- Seedance 2.5 judge 2.5
- Veo 3.1 Fast judge 4.0
- Veo 3.1 judge 5.0
-
chef chopping fresh vegetables quickly on a wooden board in a busy restaurant kitchen, close up on hands and knife, steam in the background
- Veo 3.1 judge 1.5
- Kling V3 judge 1.5
- Seedance 2.5 judge 3.5
- Wan 2.7 judge 3.5
- Veo 3.1 Fast judge 5.0
-
Man jogging along a beach at sunrise, camera tracking beside him, waves in the background, sporty commercial look
- Seedance 2.5 judge 1.5
- Veo 3.1 Fast judge 1.5
- Veo 3.1 judge 4.0
- Kling V3 judge 4.0
- Wan 2.7 judge 4.0
-
three friends laughing together at an outdoor cafe table, one tells a story with hand gestures, golden hour, candid lifestyle video
- Wan 2.7 judge 1.0
- Veo 3.1 Fast judge 2.5
- Kling V3 judge 3.0
- Seedance 2.5 judge 3.5
- Veo 3.1 judge 5.0
How this was measured
- Same requests. 16 all video tasks 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 video?
- Wan 2.7 (Alibaba): 33% chance of ranking first on 16 video requests, ahead of Seedance 2.5 at 19%, out of 5 video models tested the same way.
- Is Seedance 2.5 as good as Wan 2.7 for video?
- Close: their 95% error bars overlap (Wan 2.7 +0.04 to +1.12, Seedance 2.5 -0.30 to +0.32 log-strength), so on 16 requests Wan 2.7 is only the more likely winner.
- How was the best model for video measured?
- Same 16 requests to every model; a blind AI judge ranked the outputs twice, shuffled (agreement between runs: Kendall tau 0.70, where 1 is an identical order and 0 unrelated); Plackett-Luce ratings with 95% bootstrap error bars, CLIP and aesthetic scores as checks.