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Google slashes pricing for Veo 3 and Veo 3 Fast, now offering 1080p HD output and vertical format support to cater to mobile and social media needs at a more accessible price point.
On September 8, 2025, Google announced significant updates to the Veo 3 and Veo 3 Fast video generation models. These updates include support for vertical format outputs (9:16 aspect ratio), 1080p HD output, and new, more affordable pricing. The changes aim to make these models more accessible and suitable for a broader range of applications, particularly in mobile-first and social media contexts.
Effective immediately, the cost to generate high-quality videos with Veo 3 and Veo 3 Fast has been reduced:
These price reductions are designed to lower the barrier for developers and businesses looking to leverage these models in their projects.
One of the most significant updates is the addition of vertical format support, which allows you to generate videos with a 9:16 aspect ratio. This feature is particularly useful for content tailored for mobile devices and social media platforms, where vertical videos are increasingly popular. To use this feature, simply set the aspectRatio parameter to '9:16' in your API calls.

In addition to vertical format support, Veo 3 and Veo 3 Fast now offer 1080p HD output. This enhancement ensures that the generated videos maintain high resolution and quality, making them suitable for a wide range of applications, from social media posts to professional video content. To generate 1080p HD videos, set the resolution parameter to '1080p'.
API Parameters:
aspectRatio: Set this parameter to '9:16' for vertical format videos.resolution: Set this parameter to '1080p' for high-definition output.Performance Considerations:
The updates to Veo 3 and Veo 3 Fast make these models more versatile and cost-effective. Whether you're a developer looking to integrate high-quality video generation into your application or a content creator seeking to produce engaging media, these new features and pricing structures offer significant benefits.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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9 September 2025
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