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Google Unveils Gemma 4 and Gemini 3.1 Ultra with Record 2-Million Token Context Window

Google has announced two major AI model releases β€” the open-source Gemma 4 and the flagship Gemini 3.1 Ultra, which boasts a record-breaking 2-million token context window. The announcements underscore Google's determination to maintain its competitive position in the rapidly evolving AI landscape.

Titanic NewsTuesday, 21 April 20262 views
Google Unveils Gemma 4 and Gemini 3.1 Ultra with Record 2-Million Token Context Window

Google Unveils Gemma 4 and Gemini 3.1 Ultra with Record 2-Million Token Context Window

Google has unveiled two significant additions to its artificial intelligence portfolio: Gemma 4, a new open-source model designed for advanced reasoning and agentic workflows, and Gemini 3.1 Ultra, the company's most powerful model to date, featuring a groundbreaking 2-million token context window that allows it to process and analyse vast quantities of information in a single session.

Background

The AI industry has been engaged in an intense race to develop ever more capable models, with Google, OpenAI, Anthropic, and a growing number of well-funded startups all competing for dominance. Google's Gemini series has been positioned as the company's flagship response to OpenAI's GPT models, while the Gemma series of open-source models has been designed to give developers and researchers access to powerful AI capabilities without the cost and restrictions of proprietary systems.

The context window β€” the amount of text or data a model can process at one time β€” has become a key competitive battleground, with larger windows enabling models to handle longer documents, more complex reasoning tasks, and more sophisticated multi-step workflows.

Key Developments

Gemini 3.1 Ultra's 2-million token context window is the largest of any commercially available AI model, according to Google. To put that in perspective, 2 million tokens is roughly equivalent to 1.5 million words, or approximately 15 full-length novels. This capability allows the model to analyse entire codebases, lengthy legal documents, or extensive research archives in a single query.

Gemma 4, meanwhile, has been released under an open licence that allows developers to download, modify, and deploy the model for a wide range of applications. Google says the model has been optimised for agentic tasks β€” situations where an AI system must take a sequence of actions to complete a complex goal β€” making it particularly useful for automation and workflow applications.

Both models are being integrated into Google's broader suite of products and services, including Google Workspace, Google Cloud, and the company's consumer AI assistant.

Why It Matters

The releases reinforce Google's position as one of the leading players in the AI industry at a time when the company faces intense competition from OpenAI, Microsoft, and a new generation of well-funded startups. The 2-million token context window in particular is likely to set a new benchmark that competitors will feel pressure to match.

For enterprise customers, the ability to process extremely large volumes of text in a single session opens up new possibilities for document analysis, legal review, financial modelling, and scientific research.

What's Next

Google is expected to host a developer conference in the coming months where it will provide more details on how Gemma 4 and Gemini 3.1 Ultra will be integrated into its products. The company is also expected to announce pricing for enterprise access to Gemini 3.1 Ultra.

Sources: Crescendo AI; Google Blog

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