Google has quietly disclosed the pricing structure for Veo 2, its revolutionary AI-powered video generation model unveiled in December. According to the company's pricing page, users will be charged $0.50 per second of video generated, which translates to $30 per minute and a staggering $1,800 per hour.

To put this pricing into perspective, Google DeepMind researcher Jon Barron drew a comparison with the production budget of the blockbuster Marvel movie "Avengers: Endgame," which reportedly cost $356 million to produce. This works out to around $32,000 per second, highlighting the significant cost difference between traditional video production and AI-generated content.

It's worth noting that customers are unlikely to use every second of Veo-generated video, and the model is not designed to produce feature-length films like "Avengers: Endgame." Instead, Veo 2 is capable of creating clips that are two minutes or more in length, making it a more viable option for businesses and individuals looking to create shorter-form video content.

In terms of industry context, OpenAI recently made its Sora video generation model available to subscribers paying $200 a month for a ChatGPT Pro subscription. While the pricing models differ, both Veo 2 and Sora represent significant advancements in AI-powered video generation, with the potential to disrupt traditional video production workflows.

The implications of Veo 2's pricing structure are far-reaching, with potential applications in industries such as advertising, education, and entertainment. As AI-generated video content becomes more accessible and affordable, we can expect to see a shift in the way businesses and individuals approach video production. With Veo 2, Google is poised to play a significant role in shaping this emerging landscape.

Looking ahead, it will be interesting to see how the market responds to Veo 2's pricing structure and how it compares to other AI-powered video generation models. As the technology continues to evolve, we can expect to see new use cases and applications emerge, further blurring the lines between human-generated and AI-generated video content.