Google is taking its most decisive step yet into the future of artificial intelligence with the launch of Gemini 3.0, a model that the company describes as its most intelligent, most capable, and most deeply integrated system to date. Unveiled by leaders from Google DeepMind and Search, Gemini 3.0 represents more than an incremental upgrade. It is Google’s clearest vision of what an AI-native ecosystem looks like, one where reasoning, multimodality, and agentic behaviour converge across billions of devices and users.
At the core of the announcement is a simple but sweeping idea. Gemini 3.0 is designed to help people think, build, and create across every Google surface: Search, the Gemini app, Workspace, and the broader Google Cloud and developer stack. It launches immediately across all these platforms, reflecting Google’s confidence that this model is not experimental, but foundational
A full-stack breakthrough two years in the making
For Koray Kavukcuoglu, CTO of Google DeepMind and Google’s Chief AI Architect, Gemini 3.0 is the culmination of years of work across the company’s full-stack AI infrastructure. From custom TPUs to tightly networked data centres, from multimodal research to real-world product integration, Koray describes Gemini 3.0 as the result of a uniquely integrated approach.
He added that it a deliberate step toward an AI system that understands and reasons across text, images, audio, code, and complex multimodal contexts simultaneously. Gemini 3.0 is designed not only to answer questions but to break down academic papers, generate working interactive visualisations, build apps, and assist with complex decision-making.
“It’s the world’s best model for multimodal understanding,” Koray says, adding that Gemini 3.0 represents Google’s strongest advances in coding, reasoning, and agentic behaviour.
In a blog announcing the model, Google states Gemini 3 is its most capable foundation model yet and will be available across the Gemini app, AI Studio, the API, and enterprise platforms like Vertex AI and Gemini Enterprise.
Benchmarks that signal a new performance tier
According to Tulsi Doshi, who leads product for Gemini models at DeepMind, the numbers tell a clear story. Gemini 3.0 outperforms its predecessor, Gemini 2.5 Pro, across virtually every major benchmark.
Among its standout scores:
- A new high of 15,101 points on the LLM Arena leaderboard
- 91.9% on GPQA Diamond, the toughest scientific reasoning benchmark
- 37.5% on Humanity’s Last Exam, without external tool use
These results reflect improvements not only in raw intelligence but in reliability, consistency, and the model’s ability to generalise across tasks.
But Tulsi says the most compelling proof of progress comes from what people can do with the model. One of her favourite moments during testing was watching Gemini transform a dense DeepMind research paper into a complete interactive tutorial app, complete with 3D visualisations and step-by-step explanations. “This is where reasoning meets multimodality meets coding,” she says. “It’s where the model really shines.”
