Gemini 3.0. Google’s New AI Model – AI News – #4 November 2025

Just two years after the beginning of the “Gemini era,” Google, through its CEO Sundar Pichai, announced the launch of Gemini 3.0. This is not just another version update. It represents a fundamental shift in how AI “thinks,” plans, and collaborates with humans. The new model aims to meet the growing demand for so-called agentic workflows and deep reasoning.

Gemini 3.0 is Google DeepMind’s latest multimodal model, described by its creators as “the smartest model they have ever built.” The key difference compared to its predecessors (Gemini 1.5 and 2.5) is the shift in focus from simple content generation to deep reasoning and agentic action.

The model is available in several variants, including Gemini 3 Pro and a Deep Think mode (accessible to Google AI Ultra subscribers). Google boasts that their AI has evolved from “reading text” to “reading user moods” and intentions.

The biggest novelty is the Gemini 3 Deep Think mode. It operates similarly to OpenAI’s “o1” series models — before answering, it “reflects,” breaking down the problem into its fundamental components.

In practice, this means the model:

For the SEO and content marketing industry, this marks the end of the “hallucination” era on simple logical tasks, but also means a longer waiting time for answers (discussed in the drawbacks section).

Google didn’t limit itself to improving the model’s “brain” parameters. It introduced tools that redefine working with code and interfaces.

For developers and technical SEOs, the most important innovation is Google Antigravity. This platform transforms AI from being just a syntax-suggesting assistant into an autonomous agent.

The system has its own “Inbox,” can plan tasks, edit files, use the terminal and browser, then request human approval for the plan. In SWE-bench Verified tests (measuring coding agents’ capabilities), Gemini 3.0 overwhelmingly outperformed its predecessors.

An interesting term that surfaced with the release is vibe coding. It lets users create applications or games not by precise technical specifications but by describing the “mood” (e.g., “create a retro 90s-style game with an old CRT monitor effect”).

Additionally, Gemini 3.0 introduces Generative UI. This means during a conversation with the bot (or in Google search), AI can generate an interactive widget in real time — like a loan calculator or physics simulator — instead of just spitting out text blocks or static code.

The numbers speak for themselves. Google claims that Gemini 3.0 currently ranks first in key benchmarks:

The model outperforms competitors in “long-term planning,” demonstrated in the Vending-Bench 2 test, where the AI managed a simulated business over a virtual year, maintaining decision consistency.

Despite the excitement, initial reviews (including from The Verge and Wired) and user tests point out several significant downsides:

Gemini 3.0 is a powerful tool that blurs the line between a chatbot and a “digital collaborator.” For marketing and IT industries, it signals the dawn of agents who not only write text but perform tasks for us. Is it worth upgrading to the Ultra version? If your work involves data analysis, coding, or complex research — definitely yes.

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