Veo 3.1 nears launch as traces appear on Vertex AI, Google Vids

Veo 3.1 is starting to make its presence felt across several platforms, hinting at an imminent release. Initial traces appeared briefly on Google’s Vertex AI platform, and not long after, similar mentions surfaced on the Google Vids site. One of the more public signals came from Higgsfield AI, where a teaser for Veo 3.1 labeled “coming soon” appeared, alongside a waitlist page that revealed a number of technical details.

UPD 09.10.2025: Later, a similar statement was made by another company and confirmed to be fake by Logan. The same is true for Higgsfield promo; however, Veo 3.1 is still expected to arrive soon.

According to the description, Veo 3.1 is set to bring strong character consistency, HD video outputs, cinematic presets, and features like multi-prompting and multi-shot scene generation. Video length is also being extended, with the waitlist page mentioning durations of “30 seconds plus,” which positions Veo 3.1 as a strong challenger in the segment, particularly when compared to OpenAI’s Sora 2, which recently raised the bar for text-to-video generation.

This development matters for several groups. Creators and video professionals stand to benefit most, especially those already using tools like Google Vids or Higgsfield AI for short-form content and who need reliable character continuity and longer, higher quality outputs. The leaks suggest Veo 3.1 could appear first in the environments where traces have already been found, such as Vertex AI and Google Vids, before rolling out to broader use via partners like Higgsfield AI.

The significance of Veo 3.1 comes from its feature set. The inclusion of multi-shot scene generation and support for multi-prompt workflows opens up complex storytelling in a way that current video models have struggled to deliver. Meanwhile, native HD output and cinematic presets could lower the barrier for users seeking polished results without extensive manual editing.

The rollout seems close, with various companies updating documentation and waitlist pages in preparation. However, no precise date is confirmed. Discovery of these features has mostly come via early product updates and teaser pages, common avenues for surfacing new AI capabilities ahead of launch.

In context, Google’s continued push with Veo fits their broader strategy of integrating generative AI more tightly across creative and productivity suites, aiming to close the gap with competitors and give professional and enterprise users new tools for automated content production. If Veo 3.1 delivers on its leaked specs, it could shift the balance in the high-end video generation landscape, especially as platforms race to support longer, more consistent, and more controllable outputs.