Google Gemini 3 Launch: Million-Token Context + Intelligent Agent, Revolutionizing AI Capabilities

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Google’s latest generation AI model Gemini 3 is now officially launched. According to official news, this update brings significant capability upgrades, not only integrating multimodal AI but also introducing intelligent agent functions, marking a new breakthrough for Google in the generative AI field. Compared to previous versions, Gemini 3 has qualitative improvements in processing power, understanding dimensions, and automation level, allowing users to experience smarter and more efficient AI interactions.

Multimodal understanding, unified analysis of video, audio, and text

Gemini 3 supports context windows of up to millions of tokens, meaning the model can handle an extremely large amount of information. The core feature of the new version is its powerful multimodal understanding ability, which can unify analysis of video, audio, images, and text content, enabling users to perform complex cross-modal analysis tasks directly on a single platform without switching between multiple tools. This unified analysis approach greatly improves work efficiency.

Gemini Agent debut, multi-step task automation

Another major feature brought by Gemini 3 is Gemini Agent, an intelligent agent system. Guided by the user, Gemini Agent can autonomously complete multi-step complex tasks without requiring users to perform tedious step-by-step operations. This agent capability is especially suitable for handling workflows involving multiple stages and requiring logical deduction, significantly reducing user operational burden.

Global open testing, students enjoy free Pro experience

Currently, Gemini 3 is available worldwide, with the first batch of test users including Ultra subscription users in the United States. At the same time, Google has launched an attractive offer for student users—free one-year trial of the Pro plan. This initiative not only gives more users the opportunity to experience the powerful features of Gemini 3 but also demonstrates Google’s determination to promote AI普及. As more users provide feedback, the features and performance of Gemini 3 are expected to undergo further iteration and optimization.

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