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Google Introduces Gemini 3, Featuring 1M Token Context, Antigravity Automation, and Enhanced Multimodal AI

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Google has unveiled Gemini 3, its latest AI model, marking a significant leap forward in artificial intelligence capabilities. This iteration outperforms its predecessor, Gemini 2.5 Pro, with PhD-level problem-solving skills and an ability to process up to 1 million tokens in a single context. Such a massive context window enables Gemini 3 to analyze lengthy documents, videos, and complex multimodal data seamlessly.

A standout feature of Gemini 3 is its advanced multimodal intelligence. Unlike earlier versions, this model natively integrates text, images, video, audio, and code, enhancing its comprehension and generation abilities across diverse media types. This makes it exceptionally suited for applications requiring rich, multi-format inputs.

Gemini 3 also introduces agentic automation capabilities through the new Antigravity Platform, allowing users and developers to automate complex multi-step tasks such as managing emails, booking services, and full-stack coding via natural language commands. Additionally, the newly launched Deep Think mode offers heightened reasoning and analytical power, catering to scientific and technical workflows.

This upgrade brings noticeable improvements in Google Search, AI Studio, and developer environments, boasting over 50% better reasoning and reliability compared to Gemini 2.5 Pro. Importantly, Gemini 3 incorporates advanced safeguards against misuse, reinforcing Google’s commitment to AI safety.

Overall, Gemini 3 stands as Google’s most capable and secure AI model, embedding itself across consumer and enterprise products to redefine how users interact with AI-powered workflows and experiences.

Also Read: Is the AI Boom a Bubble? Why Public Doubt and Investor Confidence Don’t Match

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