Google Rolls Out Cheaper Video AI Model Veo 3.1 Lite
Veo 3.1 Lite supports both text-to-video and image-to-video generation, with outputs available in 720p and 1080p resolution.
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Google has introduced Veo 3.1 Lite, positioning it as its most cost-effective video generation model yet.
The company said the model is aimed at high-volume video applications and is priced at less than half the cost of Veo 3.1 Fast, while offering the same speed.
The launch expands Google’s Veo 3.1 family, giving developers more pricing and performance options.
Google also said it will reduce the price of Veo 3.1 Fast from 7 April as part of a broader push to lower the cost of AI-generated video for commercial use.
On Google’s pricing page, Veo 3.1 Fast is listed at $0.15 per second for 720p and 1080p video and $0.35 for 4K, with lower prices marked as “coming soon” at $0.10, $0.12 and $0.30 respectively.
Veo 3.1 Lite supports both text-to-video and image-to-video generation, with outputs available in 720p and 1080p resolution.
Developers can generate 4, 6, or 8-second videos, and the model supports both landscape 16:9 and portrait 9:16 formats.
While the feature set aligns with industry standards, the emphasis appears to be on cost efficiency and deployability, rather than pushing the frontier of video realism.
Access to the model is being rolled out through the paid tier of the Gemini API and Google AI Studio, targeting developers building production-scale applications rather than experimental demos.
Early reactions from developers suggest that pricing, not just capability, may determine how widely such tools are adopted.
One user on X noted, “Image-to-Video at half the cost of Fast is the move that actually unlocks this for production workflows rather than just demos. Would be curious how the quality holds up on complex motion scenes compared to Sora or Kling at similar price points.”
Another wrote, “Text-to-Video and Image-to-Video at this price point is a game-changer for developers. The API access makes it so easy to integrate into existing projects.”
A third comment summed up the broader sentiment, “Text → video at half the cost. This is how mass adoption starts.”
More updates to the Veo lineup are expected, as companies continue to experiment with how to make generative video viable beyond early-stage experimentation.
