Mohammedia – Google has officially launched Gemini 3, the company’s most intelligent AI model so far, marking another major step in its long-term push toward more capable and more helpful artificial intelligence.
The announcement, shared by Google and Alphabet CEO Sundar Pichai, highlights the rapid growth of the Gemini ecosystem in just over two years. From multimodal breakthroughs in Gemini 1 to the reasoning-focused upgrades of Gemini 2, and now to a model built to understand depth, nuance, and intent at a much higher level.
According to Pichai, AI Overviews now reach 2 billion people every month, and the Gemini app has crossed 650 million monthly users.
More than 70% of Google Cloud customers are already using the company’s AI tools, and over 13 million developers have built applications with its generative models.
Google says this rapid progress is possible because of its “full-stack” approach, combining hardware, infrastructure, research, and global products that reach billions of users.
Gemini 3 builds directly on that momentum. Google says the model offers state-of-the-art reasoning across text, images, video, audio, and code.
In early tests, it achieved the highest results across several major AI benchmarks, including topping the LMArena Leaderboard, scoring PhD-level on reasoning exams, and setting new records in mathematical problem-solving.
The company describes Gemini 3 as a model that can identify subtle clues, understand overlapping ideas, and respond with more clarity, less flattery, and stronger insight.
Google is also rolling out Gemini 3 in AI Mode in Search, the first time a new Gemini model is shipped in Search on day one.
The model will also be available in the Gemini app, in Google’s developer tools (AI Studio and Vertex AI), and in Google Antigravity, a new platform designed for building software with autonomous AI agents.
A stronger model for learning, building, and planning
Google and Alphabet CEO Sundar Pichai noted that the goal behind Gemini 3 is simply to help people “bring any idea to life,” ranging from learning complicated scientific concepts to building interactive apps or planning long-term tasks.
The model supports a one-million-token context window, meaning it can read and analyze far larger documents, videos, and datasets compared to previous versions.
Google says this enables new use cases, like translating whole family recipe archives, creating custom study tools from university-level research papers, or analyzing sports videos to offer personalized improvement plans.
Developers are also a central focus. Gemini 3 is designed to be better at vibe coding, generating richer web interfaces, and handling complex instructions with fewer errors.
It also shows major improvements in agentic behavior, like using command-line tools or operating a browser to complete a long sequence of actions.
These capabilities sit at the heart of Google Antigravity, which lets AI agents plan, write code, run tests, and manage tasks across an entire development workflow.
Google says Gemini 3 has undergone its most extensive safety evaluation to date, including testing by external experts and national AI safety bodies.
The company plans to release more models in the Gemini 3 family soon, including Gemini 3 Deep Think, an enhanced reasoning mode that will launch after additional safety reviews.
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