All News

Google Veo 3 Adds Vertical 1080p AI Video and Lower Pricing

Google updated its Veo 3 and Veo 3 Fast AI video models to support 9:16 vertical video, higher-resolution output (1080p for 16:9), and lower generation costs. Developers can enable vertical output via the aspectRatio API parameter, and Google positions Veo 3 as production-ready in the Gemini API — signaling broader use across Shorts and social platforms.

Published September 9, 2025 at 11:10 AM EDT in Artificial Intelligence (AI)

Google expands Veo 3 with vertical format, higher resolution and cheaper pricing

Google has rolled out a notable update to its Veo 3 family: both Veo 3 and the faster, lower-cost Veo 3 Fast can now generate vertical videos in a 9:16 aspect ratio and support higher-resolution outputs. The company also cut generation prices, positioning these models for broader developer adoption.

What’s changed

  • Vertical 9:16 support: Developers can set aspectRatio=9:16 in API requests to generate mobile-first vertical videos.
  • Higher resolution: Video output can now be set to 1080p, up from the prior 720p limit — though 1080p currently applies to 16:9 outputs.
  • Lower costs: Veo 3 generation is reduced to $0.40/second (from $0.75), and Veo 3 Fast to $0.15/second (from $0.40), improving cost-per-minute economics.

Google says both models are now stable and production-ready within the Gemini API. The company previously flagged Veo 3 integration with YouTube Shorts, and letting third-party apps generate 9:16 video makes it likely we'll see more Veo-created content on TikTok, Instagram Reels and similar platforms.

Why developers and businesses should care

The combination of vertical support, higher pixel counts and lower pricing changes the calculus for teams building social-first or mobile video features. What was once an experimental use-case now looks more viable for product integrations, marketing automation, and user-generated content features that require programmatic video generation.

But production use brings new challenges: cost forecasting at scale, content moderation for AI-generated outputs, and pipeline design for vertical-first rendering and delivery. Teams will need to model per-second spend, storage, CDN delivery, and consider safety filters before pushing auto-generated clips to public feeds.

Practical next steps

  • Prototype vertical workflows: Test aspectRatio=9:16 with sample assets to validate framing and composition for mobile viewers.
  • Run cost simulations: Use the new per-second pricing to forecast monthly bills at expected generation volumes and identify cost thresholds.
  • Design moderation and compliance: Build automated content filters and manual review flows before pushing generated clips to public or monetized channels.

For media teams, agencies and app builders, the update lowers the barrier to experiment with high-quality, vertical AI video. Expect to see a faster pace of integrations and more AI-generated short-form content. But the upside comes with operational work: ensuring outputs match brand standards, controlling spend, and protecting platforms from low-quality or unsafe content.

QuarkyByte’s approach would pair technical integration guidance with cost modeling and safety controls — helping teams deploy Veo 3 where it delivers clear value, while avoiding surprise bills and reputational risk. As AI video moves from lab demos to production, organizations that plan for moderation, monitoring and efficient delivery will capture the benefits sooner.

Keep Reading

View All
The Future of Business is AI

AI Tools Built for Agencies That Move Fast.

QuarkyByte can help product and engineering teams embed Veo 3 into mobile and social workflows, optimizing 9:16 pipelines and 1080p delivery while minimizing generation spend. We model cost-performance tradeoffs, design moderation and scaling controls, and create deployment plans that move AI video from prototype to production.