Why model choice matters more than model hype
Most AI video comparisons rank models on a single score. In practice, the model that produces the most cinematic hero shot is often the wrong choice for a fast product demo, and the model that animates a product photo perfectly may struggle with a multi-character narrative scene.
The four questions that actually decide which model to use are: does your source start from text or an image, do you need audio, how much motion is in the scene, and how much are you willing to spend per clip. Everything below is organised around those four questions.
Quick comparison
| Model | Best for | Main strength |
|---|---|---|
| Sora 2 Pro | Cinematic storytelling and complex scenes | Strong prompt understanding and scene coherence for narrative shots. |
| Kling 2.6 | Camera movement and controlled motion | Camera controls and consistent subject motion across the clip. |
| Wan 2.6 | Image-to-video with audio | Animates a still image while keeping the original composition intact. |
| Seedream 4.5 | High-fidelity image generation | Photorealistic detail, useful as the first frame for image-to-video. |
| Nano Banana Pro | Fast image editing and variations | Quick iterations when you need many versions of one visual. |
| Kling Avatar + ElevenLabs | Talking-head and spokesperson clips | Lip-synced avatar delivery with natural ElevenLabs voices. |
| Topic to Video | Full videos from a single topic | Script, voiceover, visuals and edit produced from one prompt. |
A fuller breakdown of every model, including image models, lives on the model comparison page.
Text-to-video vs image-to-video
Text-to-video is the right starting point when the scene does not exist yet — a concept shot, an establishing scene, an abstract visual. You describe the shot and the model invents everything in it, which gives you range but less control.
Image-to-video is the better choice when the subject already exists: a product, a person, a logo, a photo. You keep the exact composition and let the model add motion. This is why most commercial work — product videos and social ads — is produced image-first: generate a still you are happy with, then animate it.
Which model for which job
Cinematic and narrative shots
Reach for Sora 2 Pro when the shot has a story in it — several elements interacting, a mood to hold, a camera that needs to feel intentional.
Controlled camera movement
Kling 2.6 is the pick when you know the move you want: a slow push in, an orbit, a pull back. Camera control is where it separates itself from prompt-only models.
Animating an existing image
Wan 2.6 handles image-to-video with audio, which makes it a good default for turning a finished still into a short clip without losing the framing you chose.
Talking heads and spokespeople
For a person speaking to camera, use Kling Avatar with ElevenLabs. Lip sync and voice quality matter far more than raw visual fidelity in this format.
A full video from one idea
Topic to Video writes the script, generates the voiceover and visuals and assembles the edit. It is the fastest route from a topic to something publishable.
Personalized gift videos
Personalized birthday videos are their own category — one photo, a name and an age, and a finished clip. That workflow has its own tool at the AI birthday video maker.
How to keep costs sensible
The single most effective habit is to preview in standard quality before spending on a high-quality render. Iterate on prompt and framing cheaply, and only pay for the final resolution once the shot is right. Current per-model credit costs are listed on the pricing page.
The short answer
If you want one recommendation: start from an image, animate it with the model that matches your motion needs, preview cheap, and render high quality once. You can see the full platform and every available model on the platform overview.