Google DeepMind launches Gemini Pro 1.5 with major AI upgrade

Google DeepMind announced the immediate availability of Gemini Pro 1.5 on February 26, 2026, significantly upgrading its flagship generative AI model for developers and enterprise clients. The update introduces vastly expanded context windows capable of processing millions of tokens across diverse data types, including text, image, and video.

What Happened / Key Details

Google DeepMind, a leading AI research and development company, has rolled out Gemini Pro 1.5, marking a substantial evolution in its generative AI offerings. The model's most notable enhancement is its vastly expanded context window, which allows it to process millions of tokens simultaneously. This capability extends across various modalities, enabling the model to understand and generate content from text, images, and video input, according to the company's announcement.

A 'token' refers to a piece of data processed by an AI model, similar to words or sub-words. A larger context window means the AI can retain and utilise much more information from a given prompt or conversation, leading to more coherent and comprehensive outputs. For Indian enterprises and developers, this could unlock new possibilities in applications requiring complex data analysis, content creation, and nuanced understanding of diverse user inputs, potentially accelerating AI adoption across sectors like media, education, and healthcare.

Official Position / Company Statement

According to Google DeepMind's statement, Gemini Pro 1.5 is designed to provide developers and enterprise clients with more powerful and versatile tools for building advanced AI applications. The company highlighted the model's enhanced multimodal generation capabilities, positioning it as a tool for creating more sophisticated and context-aware AI solutions.

Timeline / What's Next

The release of Gemini Pro 1.5 underscores the ongoing race in the artificial intelligence sector to develop more capable and versatile foundational models. As these models become more adept at processing and generating multimodal content, they are expected to drive significant innovations in various industries globally, including in India where there is a growing ecosystem of AI startups and digital transformation initiatives. This launch comes amidst a period of rapid evolution and increasing scrutiny in the AI landscape, with recent developments including new regulatory frameworks like the EU AI Act provisions, which aim to establish clearer safety and transparency standards for general-purpose AI models, and increased efforts by major AI firms to secure content for model training.

Context / Background

Generative Artificial Intelligence (AI) refers to models capable of producing new content, such as text, images, or code, based on the data they were trained on. Large Language Models (LLMs) are a specific type of generative AI that specialises in processing and generating human-like text. The field has seen rapid advancements, with models increasingly incorporating multimodal capabilities, allowing them to interact with and understand various forms of data beyond just text. Google DeepMind is a key player in this space, consistently developing and refining AI technologies that push the boundaries of what these models can achieve.

Key Takeaways

• Google DeepMind launched Gemini Pro 1.5 on February 26, 2026, a major upgrade to its generative AI model.
• The model now features vastly expanded context windows, processing millions of tokens across text, image, and video.
• It offers enhanced multimodal generation capabilities, targeting developers and enterprise clients for advanced AI applications.
• This development reflects the ongoing trend towards more capable and versatile next-generation AI models globally.

People Also Ask

What is Gemini Pro 1.5?
Gemini Pro 1.5 is an upgraded generative artificial intelligence model from Google DeepMind, released on February 26, 2026. It features a significantly expanded context window and enhanced capabilities for generating content across text, image, and video, designed for developers and enterprise use.

What does 'expanded context window' mean for AI models?
An expanded context window allows an AI model to process and retain a much larger amount of information from a single input or conversation. Gemini Pro 1.5's new capability enables it to handle millions of tokens (data units) across text, images, and video, producing more comprehensive and contextually aware responses.

What are multimodal capabilities in AI?
Multimodal capabilities in AI refer to a model's ability to understand, process, and generate content using multiple types of data inputs, such as text, images, and video. Gemini Pro 1.5's enhanced multimodal features mean it can integrate and reason across these different data forms, offering more versatile and sophisticated generative AI functionalities.

How does Gemini Pro 1.5 impact Indian developers and enterprises?
Gemini Pro 1.5's advanced capabilities, particularly its expanded context window and multimodal generation, provide powerful tools for Indian developers and enterprises. These features can accelerate innovation in sectors like media and education, enabling more sophisticated AI applications that require complex data analysis and diverse input processing within India's growing AI ecosystem.

Last updated: February 26, 2026