Gemini Omni and Gemini 3.5: Ushering in the Era of Multimodal Generation and Autonomous AI Agents

A Paradigm Shift in the Gemini Ecosystem

At Google I/O 2026, Google unveiled its next-generation model families: Gemini Omni and Gemini 3.5. The core of this update isn't just a marginal increase in LLM performance, but a strategic integration of two critical capabilities: the ability to generate content from any input (Omni) and the capacity to autonomously execute complex actions (Gemini 3.5).

For developers, the key takeaway is that these models are no longer just chatbots; they are engineered as "AI Agents" capable of automating entire professional workflows.

Gemini Omni: Consistent Multimodal Generation

Gemini Omni is designed to process text, images, audio, and video inputs to generate seamless content—with a heavy emphasis on high-fidelity video production.

One of the most impressive breakthroughs is its natural language video editing capability. According to Google, the model can handle iterative editing instructions through conversation while maintaining strict character consistency and adhering to the laws of physics. This effectively lowers the barrier to high-quality content creation in tools like YouTube Shorts and the YouTube Create App, allowing users to produce professional-grade video without specialized editing skills.

Gemini 3.5 and "Antigravity": The Engine of Agency

The Gemini 3.5 family, including Gemini 3.5 Flash, pivots toward "action" and "intelligent agency." The secret sauce behind this transition is a new engine called Antigravity.

The Role and Application of Antigravity

Antigravity serves as the orchestration harness for Gemini 3.5 Flash, enabling the deployment of collaborative sub-agents and the execution of multi-step workflows. Its practical utility is showcased through several key features:

• Gemini Spark: A personal AI agent powered by Gemini 3.5 and Antigravity. Integrated deeply with Google Workspace (Gmail, Docs, Slides), it can act on behalf of the user to complete complex tasks.
• Information Agents: Search-based agents that reason through information 24/7 to provide real-time updates and relevant links.
• Rapid UX Prototyping: Within Google AI Studio, Gemini 3.5 Flash can generate multiple distinct UX approaches for a checkout flow in under 60 seconds.

Deployment and Access Plans

These capabilities are being rolled out to developers and end-users via the following channels:

• Gemini 3.5 Flash: Now generally available through Google Antigravity, the Gemini API (via AI Studio and Android Studio), and Gemini Enterprise.
• Gemini Omni Flash: Rolling out globally to Google AI Plus, Pro, and Ultra subscribers via the Gemini app and Google Flow. API access for developers and corporate clients is expected "within a few weeks."
• Generative UI: A feature that displays visual tools and simulations directly within search results will be available for free to all users in the summer of 2026.

Final Thoughts: Moving Toward Action-Oriented UI

The combination of Gemini Omni's consistent video generation and Gemini 3.5's (Antigravity) multi-step automation marks a transition from traditional chat-based UIs to "Action-Oriented UIs," where agents operate autonomously in the background. For developers, the challenge is shifting: the focus is no longer just on prompt engineering, but on architecting how agents are integrated into broader operational workflows.