Gemini Omni and Gemini 3.5 in Action: 11 Video Demos from Google

At Google I/O 2026, the company showed 11 videos of Gemini Omni and Gemini 3.5 in action. The new models demonstrated better understanding of video, voice and text. The demos ranged from content analysis to generation, pointing to a new level of AI capability. Google reaffirmed its position as a leader in developing multimodal neural networks.

AI-processed from Google AI Blog; edited by Hamidun News
Gemini Omni and Gemini 3.5 in Action: 11 Video Demos from Google
Source: Google AI Blog. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceGoogle AI Blog ↗
Editor-in-Chief
Key metric #1Video content analysis with an understanding of context
Key metric #2Processing of voice commands and conversational interaction
Key metric #3Extracting information from text documents

Gemini

Omni and Gemini 3.5: A New Generation of Multimodal AI

At the Google I/O 2026 conference, the company presented a series of video demos that show off the power of its newest models, Gemini Omni and Gemini 3.5. In total, 11 videos were released, each showing a specific use case and the distinctive capabilities of these models.

What Google Actually Showed

The demos cover a broad range of tasks:

  • Video content analysis with an understanding of context
  • Processing of voice commands and conversational interaction
  • Extracting information from text documents
  • Generating content based on supplied data
  • Integration with real applications and services

Key Features of the New Models

Gemini Omni is an improved version optimized specifically for working with heterogeneous types of data. The model shows a noticeable improvement in:

  • Accuracy in recognizing details in video
  • Speed of processing requests
  • Quality of context interpretation

Gemini 3.5, for its part, stays practical and accessible while delivering a significant jump in performance. This model targets developers and businesses that need a balance between power and efficiency.

What It Means for the Industry

Google's demos highlight several important trends in AI development:

  • Multimodality is becoming the standard, not the exception
  • The integration of AI into everyday applications is accelerating
  • Demands for processing speed and accuracy are rising

The videos confirm that Google remains one of the main players in building cutting-edge neural networks. The demos show practical applications of technologies that go beyond theoretical concepts.

What's Next

The presentation of these models signals that Google is ready to release tools for wider use. Developers and companies will be able to integrate Gemini Omni and Gemini 3.5 into their own products, opening new possibilities for building AI applications.

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Key Questions Answered

What are the key details on Gemini Omni and Gemini 3.5: A New Generation of Multimodal AI?

At the Google I/O 2026 conference, the company presented a series of video demos that show off the power of its newest models, Gemini Omni and Gemini 3.5. In total, 11 videos were released, each showing a specific use case and the distinctive capabilities of these models.

What Google Actually Showed?

The demos cover a broad range of tasks: Video content analysis with an understanding of context Processing of voice commands and conversational interaction Extracting information from text documents Generating content based on supplied data Integration with real applications and services

What are the key details on Key Features of the New Models?

Gemini Omni is an improved version optimized specifically for working with heterogeneous types of data. The model shows a noticeable improvement in: Accuracy in recognizing details in video Speed of processing requests Quality of context interpretation Gemini 3.5, for its part, stays practical and accessible while delivering a significant jump in performance. This model targets developers and businesses that need a balance between power and efficiency.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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