How to Choose the Right AI Video Model for Your Project (Not the "Best" One)

Choosing the right AI video model for your project is crucial, but it's not as simple as picking the "best" model. Ranking changes frequently because companies release new models quickly. For instance, ByteDance's Seedance 2.0 and Alibaba's HappyHorse-1.0 currently lead independent leaderboards, surpassing Western models in raw benchmark scores.

Another standout model is Kling 3.0 from Kuaishou, which offers high audio-inclusiveness at a lower cost compared to competitors. However, ranking alone doesn't tell you which model is best for your specific needs.

When selecting an AI video model, consider the shot's length, sound requirements, character consistency, and budget. For example, Kling 3.0 can generate up to 15 seconds of video at 4K/60fps in a single pass, while LTX-2.3 allows for 20 seconds at 50fps. Vidu Q3 and Veo 3.1 typically generate 8-second clips, which may be sufficient for short inserts but not for longer dialogue exchanges. Furthermore, not all models generate synchronized dialogue, so this is a critical factor depending on your shot's needs.

Another significant consideration is the number of reference elements required for scene consistency. Models like Veo 3.1 accept three reference images, while Seedance 2.0 accepts up to nine images, video clips, and audio files. If your shot relies on matching earlier shots, ensure the model can handle the necessary references. Some models only accept two or three references, which can be problematic if you need more complex consistency across multiple elements.

Cost is another factor to consider. Credit pricing varies across platforms, with Kling 3.0 being the most affordable at around $0.10 per second. Sora 2 and Veo 3.1, while more expensive, may save you money if they achieve the desired results on fewer generations. However, remember to factor in the regeneration rate, as most AI filmmakers typically generate 3-5 clips for every one they keep.

Lastly, consider the model's longevity. OpenAI announced the deprecation of Sora 2 and its API in March 2026, with the platform shutting down on April 26, 2026. This highlights the importance of not relying solely on a single vendor's roadmap. Keep your prompts, references, and settings separate from the platform, allowing you to adapt if a model disappears. ScreenWeaver is an example of a tool that helps maintain a log of these details within your shot, ensuring you can easily transition to a different model if needed.