Google Veo 2 AI Video Model Pricing Revealed at 50 Cents per Second
Google has long been a pioneer in artificial intelligence, consistently leading advancements and breakthroughs through its dedicated AI research divisions, such as Google DeepMind and Google AI. Over the years, the tech giant introduced transformative AI models like BERT for language understanding, Imagen for image generation, and Gemini, its versatile generative AI model, significantly shaping how industries approach AI-driven tasks.
In its latest development, Google has quietly disclosed pricing for Veo 2, Google latest AI video tool Veo 2 used for video generation, and was initially announced in December. According to details published on Google’s official pricing page, utilizing Veo 2 will cost users 50 cents per second of generated video, which equates to roughly $30 per minute or $1,800 per hour.
To put these figures into perspective, Google DeepMind researcher Jon Barron compared Veo 2’s pricing to the production costs of Marvel’s blockbuster, “Avengers: Endgame,” which had an enormous budget of approximately $356 million, or about $32,000 per second of footage. This comparison effectively highlights the relative affordability of Google’s AI-generated video content against traditional filmmaking costs.
However, it’s worth noting that users may not ultimately use every second of footage generated through Veo 2, especially since Google has indicated that the model typically creates videos of around two minutes in length. Users could pay for footage they don’t incorporate into their final projects.
Google’s pricing strategy also stands in contrast to rival OpenAI’s Sora model, which recently became available through a subscription-based pricing model—part of a $200-per-month ChatGPT Pro subscription.
Overall, Google per-second pricing positions Veo 2 as a premium service targeted at professionals and enterprises. While the upfront cost might appear significant, the model’s efficiency and flexibility could notably reduce production expenses and timelines, making it a compelling option for short, impactful, and commercially oriented video projects. Users, however, should carefully manage their content-generation planning to optimize cost-effectiveness.
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