AI Video Models Compared
Compare video generation models such as Sora, Veo, Kling, Runway, Pika, Luma, Hailuo, Seedance and Wan. The useful fields are input modes, max duration, resolution, camera control, consistency, pricing unit and API availability.
What makes video models different
Video models are not context-window-plus-token-price products. They need output capability and generation-cost fields.
Text-to-Video
Generate video from prompts. Compare prompt following, camera control, duration, resolution and physical consistency.
Image-to-Video
Generate from a first frame or reference image. Compare character consistency, motion control and style stability.
World Models
Track interactive scenes, 3D, robotics simulation and game environments. Early pages should track availability before forcing price tables.
Priority models
4OpenAI
Sora
OpenAI video generation model. Track ChatGPT plan allowance and future API pricing.
Veo
Google video model. Separate Gemini App, Vertex AI and Ultra plan access.
Kuaishou
Kling
Global and China access may diverge. Pricing can mix credits and membership allowances.
Runway
Runway Gen-4
Mature creative product. Good first target for plans, seconds and resolution fields.
Catalog tracker
V1 tracks public products, units and capabilities. Verified exact prices will move into plans and usage_prices.
Fields to track
Why video first
Video model demand is rising fast and the provider set is now large enough to compare. It is the best first step from text LLM comparison into multimodal models.