AI Video Generation Models Compared (2026): Seedance, Veo, Kling, Wan and More

By adsturbo.ai ｜ Published 2026-10-21 ｜ Updated 2026-11-09

There are now more capable AI video generation models than most teams can test. This guide compares the eight video models available in AdsTurbo today: Seedance 2.5, Seedance 2.0, Veo 3.1, Kling 4.0, Kling 3.0, Wan 3.0, MiniMax H3 and HappyHorse 1.0. It covers clip length, resolution, frame control and reference inputs, then explains how to choose one for a product ad. The specs below are what each model supports inside AdsTurbo, which can differ from a vendor's own app or API.

Quick comparison: 8 AI video generation models

Every model also works as text-to-video: leave the inputs empty and describe the scene. On AdsTurbo, 1080p and higher output is part of paid plans.

Seedance 2.5: long clips with the most reference inputs

Seedance 2.5 is the most flexible model in the list. It generates 4 to 30 seconds in one pass, supports six aspect ratios from 21:9 to 9:16, and accepts first and last frames. Its reference limit is the largest here: up to 30 images, 10 video clips and 10 audio clips. That makes it a strong default when an ad needs a consistent product, a consistent presenter and a specific voice or soundtrack in the same clip.

Best for: 15–30 second product ads, UGC-style videos with a recurring character, and multi-shot sequences built from many references.

Seedance 2.0: the Studio default for short clips

Seedance 2.0 covers 4 to 15 seconds at up to 1080p with the same six aspect ratios as 2.5. It accepts first and last frames, up to 9 reference images, and up to 12 references in total across images, video and audio. It is the default video model in AdsTurbo Studio, a sensible place to start before moving to a longer or higher-resolution model.

Best for: short social ads, hook tests, and image-to-video from an approved product photo.

Veo 3.1: highest resolution for short shots

Veo 3.1 from Google is the only model here that outputs 4K (720p, 1080p and 4K are available). Clips are fixed at 4, 6 or 8 seconds, and the format is either 16:9 or 9:16. It supports first and last frames and up to 3 reference images. Plan longer stories as separate shots.

Best for: premium hero shots, cinematic product close-ups and any clip that will be cropped or reused at high resolution.

Kling 4.0: long clips plus editing existing video

Kling 4.0 handles 3 to 30 seconds at up to 1080p, with adaptive, 21:9, 16:9, 1:1 and 9:16 framing. Besides first and last frames (an end frame alone is not accepted), it takes up to 10 images, 5 videos and 3 audio clips as references. It can also edit or extend an existing video instead of starting over, which helps when one shot of a good ad needs fixing.

Best for: extending a clip that already works, revising a single scene, and longer narrative ads. Kling's motion control is a separate workflow, covered in the Kling motion control tutorial.

Kling 3.0: simple image-to-video

Kling 3.0 generates 3 to 15 seconds at up to 1080p in 16:9, 1:1 or 9:16. It supports first and last frames and one reference image. With fewer inputs to manage, it suits a quick animation of a single product photo.

Best for: turning one product image into a short motion clip.

Wan 3.0: widest duration range

Wan 3.0 covers the widest range of clip lengths, 2 to 30 seconds, at up to 1080p with adaptive framing plus five fixed ratios. It accepts up to 10 images, 5 videos and 5 audio clips as references, or first and last frames, but not both in the same generation.

Best for: very short loops (2–4 seconds) as well as 30-second ads, and reference-driven scenes.

MiniMax H3: 2K output with mixed references

MiniMax H3 produces 4 to 15 seconds at 768p or 2K, with adaptive framing and six fixed ratios. It supports first and last frames and up to 9 images, 3 videos and 3 audio clips as references.

Best for: sharper output than 1080p without Veo's fixed lengths, for example detailed product textures.

HappyHorse 1.0: reference-driven generation

HappyHorse 1.0 generates 3 to 15 seconds at up to 1080p in five aspect ratios. In AdsTurbo it works in reference mode with up to 9 references rather than first/last frame mode.

Best for: scenes that should follow the look of reference images or clips.

Which AI video generation model should you choose?

Start from the constraint that matters most for the ad, not from a leaderboard:

For product ads, the input matters as much as the model. Text-to-video is good for exploring concepts but may invent the product. Image-to-video starts from an approved product photo and keeps it recognizable, though labels and proportions can still drift. Reference-to-video borrows structure or motion from existing material, so keep it to footage you have the rights to use. When the goal is a new take on a proven ad's hook, the Ad Clone workflow helps you analyze the structure without copying someone else's footage.

How to run a fair model comparison

Compare models on the same product brief, not on highlight reels. Give every model the same approved photo, audience, key benefit, forbidden claims and placement. Record every attempt, including failures and manual fixes. A useful brief is specific:

"Show this exact insulated bottle on a desk. Begin with a close view of its lid, then show a person placing it beside a laptop. Preserve its color and logo. Do not add capacity figures, temperature claims, or on-screen discounts."

Then score each result from 0 to 2 on five points:

1. Identity: correct shape, color, packaging and components.
2. Action: the demonstrated use makes physical and commercial sense.
3. Message: prices, offers, captions and spoken claims are accurate.
4. Control: one weak shot can be revised without discarding the concept.
5. Delivery: the clip adapts to the placements and languages you need.

A zero in identity or message blocks release, whatever the total. Track attempts per approved clip too; it often matters more than per-clip price. For cost math across tools, see the AI video generator pricing comparison.

From model to finished ad

A generated clip is an ingredient, not a finished ad. AdsTurbo puts these models inside ad workflows: product video from a product image, URL to video from a product page, motion control to copy movement from a reference clip, and Ad Clone to rebuild a winning ad structure. For multi-SKU catalogs, the bulk product video workflow shows how to organize creatives by product, and the video translation workflow covers localizing them. You can try every model above in AdsTurbo Studio.

Frequently asked questions

What is the best AI video generation model?

There is no single winner. Seedance 2.5 is the most flexible (30-second clips, the most references), Veo 3.1 gives the highest resolution (4K), and Kling 4.0 is the one to use when you need to edit or extend existing footage. Test two or three on the same brief and compare attempts per approved clip.

Which AI video model makes the longest clips?

Seedance 2.5, Kling 4.0 and Wan 3.0 all generate up to 30 seconds in one pass in AdsTurbo. Veo 3.1 is limited to 4, 6 or 8 seconds.

Which models support first and last frames?

Seedance 2.5, Seedance 2.0, Veo 3.1, Kling 4.0, Kling 3.0, Wan 3.0 and MiniMax H3. HappyHorse 1.0 works in reference mode.

Is image-to-video more accurate than text-to-video?

Usually for product ads, because a product photo anchors the item. Motion can still distort labels or proportions, so check frames at the start, middle and end against the approved product image.

Can I use these models without separate subscriptions?

Yes. All eight models are available in one AdsTurbo account and use AdsTurbo credits, so you do not need a separate account with each model provider.