US Stock Market Move | Alphabet Inc. Class C (GOOGL.US) rises 4% in premarket trading. Gemini 3 Pro image model goes online.

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22:07 20/11/2025
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GMT Eight
On Thursday, Google (GOOGL.US) rose 4% in pre-market trading, reaching $304.73.
On Thursday, Alphabet Inc. Class C (GOOGL.US) rose 4% in pre-market trading, reaching $304.73. In terms of news, on November 20th, the new generation multimodal AI model of Alphabet Inc. Class C, the second generation Nano Banana (codenamed Gemini 3.0 Pro Image) was updated, with the official codename for the new version being Gemini 3 Pro Image Preview. Unlike traditional image models, Gemini 3 Pro Image is an inference model that conducts internal reasoning before generating images, much like thinking about how to best accomplish a task. This results in significantly improved image quality, higher accuracy, and better multi-language long text rendering capabilities. According to the official blog, Gemini 3 Pro Image was specifically designed to tackle the most challenging image generation tasks. The model is now available on the Vertex AI platform and can also be used in Google AI Studio through Google's Gen AI SDK (which provides a unified Python and Go interface). Recently, Gemini 3 Pro released by Alphabet Inc. Class C has received high praise in various evaluations, standing out among many large models. Robert Baird company analyst Colin Sebastian pointed out, "In addition to its advantages in search engagement and profitability, Alphabet Inc. Class C combines real-time network indexing with advanced model training, which we believe is a key competitive advantage." Furthermore, Alphabet Inc. Class C officially launched the seventh generation TPU Ironwood, which will be officially launched in the coming weeks. This chip, designed in-house by Alphabet Inc. Class C, is capable of handling various tasks from large-scale model training to real-time chat with Siasun Robot & Automation and AI intelligent agents. The chip was first revealed in April this year, initially used for testing and early deployments.