AI News | 2 min read

Google Releases Gemini Omni 1.2 Flash With 15-Second Video Generation and 30% Price Cut

Google launched Gemini Omni 1.2 Flash with 15-second native video generation, multi-turn editing, and a 30% price cut to /bin/bash.07 per second for 720p video.

Hector Herrera
Hector Herrera
A newsroom related to a major tech company Releases an AI model Omni 1.2 Flash Wit from an unusual angle or perspective
Why this matters Google launched Gemini Omni 1.2 Flash with 15-second native video generation, multi-turn editing, and a 30% price cut to /bin/bash.07 per second for 720p video.

Google Releases Gemini Omni 1.2 Flash With 15-Second Video Generation and 30% Price Cut

By Hector Herrera | November 6, 2026 | News

Google launched Gemini Omni 1.2 Flash on November 6, pushing native video generation from 10 to 15 seconds and cutting the price 30% versus version 1.1. The combination of longer video output and a significant price drop positions Gemini Omni as a direct competitive pressure on OpenAI's Sora and other video generation models fighting for developer and enterprise adoption.

Background

Google has been iterating rapidly on its Gemini Omni line since the model family launched earlier this year. The 1.1 Flash release established native video generation as a core capability — meaning the model generates video directly rather than chaining separate text and video models together. Version 1.2 extends that capability while addressing the cost barrier that slowed enterprise adoption of the earlier version.

What Changed in 1.2 Flash

The upgrade delivers four meaningful improvements over version 1.1:

  • Longer video generation — output extended from 10 seconds to 15 seconds per generation
  • Multi-turn conversational editing — users can refine video output through follow-up prompts without regenerating from scratch
  • Improved reference adherence — the model more accurately reflects specific visual references, characters, or brand assets provided in a prompt
  • 30% price reduction — 720p video generation is now priced at $0.07 per second

At $0.07 per second, a 15-second clip costs $1.05. That's still not trivial for high-volume consumer applications, but it's workable for enterprise workflows where video generation replaces more expensive production steps.

Access and Availability

Gemini Omni 1.2 Flash is available through three channels:

  1. Gemini API — direct programmatic access for developers
  2. Google AI Ultra subscribers — included in the premium subscription tier
  3. Flow and Google Vids — limited free access through Google's creative production tools

The tiered access structure reflects Google's strategy of using consumer products to drive API adoption — developers who experiment with Gemini Omni through Flow or Vids are more likely to integrate the API into production applications.

Impact

For developers, the 30% price cut makes higher-volume video generation economically viable for the first time on this model. The multi-turn editing capability also reduces the token waste from repeated full regenerations — a real cost problem for iterative creative workflows.

For the competitive landscape, this release puts pressure on OpenAI's Sora pricing and on specialized video generation startups. Google has the advantage of integrating video generation directly into existing enterprise products (Google Vids, Workspace) in ways that standalone video models cannot match.

For businesses using video content, 15-second native AI video at $0.07/second opens new use cases: automated product demo clips, social media content generation, and training video production without full production budgets.

What to Watch

Watch whether OpenAI responds with a Sora price cut before the end of the year — the video generation market is in an aggressive pricing phase. Also watch for Google's reference adherence improvements to unlock brand-safe video generation, which has been the primary enterprise blocker for AI video adoption.

Key Takeaways

  • ✓ Longer video generation
  • ✓ Multi-turn conversational editing
  • ✓ Improved reference adherence
  • ✓ Google AI Ultra subscribers
  • ✓ For the competitive landscape

Did this help you understand AI better?

Your feedback helps us write more useful content.

Hector Herrera

Written by

Hector Herrera

Hector Herrera is an AI systems architect in Houston and founder of Hex AI Systems. He designs and runs AI systems in production and writes daily about how AI is reshaping business, government and everyday life. 20+ years building for the web. Houston, TX.

More from Hector →

Get tomorrow's AI briefing

Join readers who start their day with NexChron. Free, daily, no spam.

More from NexChron