Google has officially unveiled its latest AI video generation model, Veo 3.1 Lite, positioning it as the most affordable option in the Veo 3.1 lineup at just $0.05 per second for 720p resolution. This aggressive pricing is set to shake up the rapidly evolving AI video market, making high-quality video generation accessible to a broader range of creators and businesses.
Key Features and Pricing
Veo 3.1 Lite supports both text-to-video and image-to-video generation, offering resolutions of 720p and 1080p with aspect ratios of 16:9 and 9:16. Video lengths are available in 4, 6, or 8 seconds, and audio generation is included by default. This feature set directly competes with existing tools like Runway and Pika, but at a fraction of the cost.
Pricing breakdown:
- Veo 3.1 Lite: $0.05/sec (720p)
- Veo 3.1 Lite: 1080p pricing TBA, expected to be higher
- Veo 3.1 Fast (after April 7 price cut): $0.10/sec (720p), $0.12/sec (1080p), $0.30/sec (4K)
Veo 3.1 Fast Price Reduction
Alongside the Lite model launch, Google announced a price reduction for Veo 3.1 Fast, effective April 7, 2026. The new pricing drops the 720p tier by 42% and 4K by over 50%, making it more attractive for professional video production teams seeking higher quality output.
Availability and Developer Access
Veo 3.1 Lite is now accessible through the Gemini API and Google AI Studio paid tier. Developers can integrate the model into their own applications for rapid short-form video generation, social media content creation, and advertising prototyping. Google emphasizes that the Lite model is optimized for speed, enabling near-real-time generation while maintaining decent visual quality.
Market Impact and Competition
The AI video generation landscape is becoming increasingly competitive. Google's pricing at $0.05/second translates to roughly $3 per minute, significantly undercutting rivals like Runway (which charges around $10 per minute) and Pika's subscription plans. Analysts believe this could trigger a broader price war, forcing other providers to lower costs or differentiate on quality.
Google leverages its own TPU (Tensor Processing Unit) hardware to keep inference costs low, giving it a structural advantage. Veo 3.1 Lite is part of a broader strategy to deepen the Google AI ecosystem, particularly as it integrates with the Gemini multimodal platform.
As AI video generation becomes more affordable, the barrier to entry for small creators, marketers, and educators continues to drop. Google's move signals a clear push toward democratizing video creation, not just for Hollywood studios but for everyone.