On November 18 (local time), Google officially introduced its latest-generation multimodal AI model, Gemini 3. This model marks significant strides in reasoning proficiency, multimodal comprehension, and agent-based coding, swiftly emerging as a centerpiece in the industry following its launch. The Gemini 3 lineup comprises two editions: the Gemini 3 Pro and the enhanced reasoning variant, Gemini 3 Deep Think. On its inaugural day, it was seamlessly integrated into Google Search, the Gemini app, and a range of developer platforms, signaling a pivotal transformation in Google AI's strategy for commercial application.

The model excelled across numerous benchmark evaluations, including the LMArena Large Model Arena, Humanity's Last Exam, and the GPQA Diamond scientific knowledge assessment, showcasing reasoning abilities on par with doctoral-level experts. In the realm of multimodal understanding, Gemini 3 demonstrated exceptional prowess in tasks like video analysis, screen interpretation, and chart deciphering, effortlessly handling diverse information formats such as text, images, and videos.

Moreover, Gemini 3 achieved notable advancements in programming and agent capabilities, facilitating autonomous planning and execution of intricate software tasks, all while accommodating context lengths extending up to 1 million tokens. To fuel subsequent model iterations, Google has set an ambitious target of doubling computational capacity every six months and achieving a staggering 1000-fold performance enhancement within a 4-5 year timeframe, harnessing its proprietary TPU chips to establish technological independence.

The unveiling of Gemini 3 not only redefined the benchmarks for AI technology but also underscored its potential to revolutionize industry landscapes through strategic ecosystem integration. This development propelled Google's stock price to unprecedented heights following the announcement.