AI for Business

Google Cuts AI Video Costs with New 'Lite' Model, Adjusts Pricing Across Veo Line

Google introduced a lower-cost version of its Veo AI video generator on Tuesday, a move that underscores a strategic focus on affordability in generative media. The new model, Veo 3.1 Lite, is...

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Google Cuts AI Video Costs with New 'Lite' Model, Adjusts Pricing Across Veo Line

Google introduced a lower-cost version of its Veo AI video generator on Tuesday, a move that underscores a strategic focus on affordability in generative media. The new model, Veo 3.1 Lite, is priced at half the cost of its Veo 3.1 Fast counterpart while maintaining similar generation speeds. It supports core functions like text-to-video and image-to-video conversion, includes audio, and offers outputs at 720p or 1080p resolution in standard or vertical formats.

This release arrives just days after OpenAI announced it would shut down its Sora video app, a tool that blended social features with AI generation. Where OpenAI is stepping back, Google appears to be leaning in, refining its commercial approach. The Veo 3.1 Lite model does not support 4K output, a concession likely made to reach a broader developer audience concerned with compute expenses. Developers can specify video durations of 4, 6, or 8 seconds, with costs scaling accordingly.

Access to Veo 3.1 Lite is now available through the paid tier of Google's Gemini API and its AI Studio developer platform. In a related shift, Google also detailed upcoming price reductions for its higher-tier Veo 3.1 Fast model, with cuts of up to 33% for some resolutions. The new pricing table clearly signals a market adjustment: generating a second of 1080p video with the Lite model costs $0.08, compared to $0.12 for the Fast model.

For business leaders evaluating AI video tools, Google's play is straightforward. It's not merely adding another model; it's systematically lowering the barrier to entry for experimental and scaled use. In a field where processing demands directly impact profitability, these pricing changes reflect an industry-wide push to make advanced AI operations more economically sustainable for enterprises.

Source: CNET

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