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8Google DeepMind Blog·1mo ago

Introducing the Gemini 2.5 Computer Use model

Google DeepMind has released a preview of a specialized Computer Use model built on Gemini 2.5 Pro, available via API. The model is designed to power agents that can interact with user interfaces, extending Gemini 2.5 Pro's capabilities into computer-use agentic tasks. This positions Google as a direct competitor to Anthropic's Claude Computer Use and similar offerings in the emerging computer-use agent space.

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7Google Deepmind Blog·1mo ago·source ↗

Gemini 2.5 Pro Preview: Updated Version with Improved Coding Performance

Google DeepMind has released an updated preview version of Gemini 2.5 Pro ahead of its originally planned schedule, citing strong developer adoption and usage. The update focuses on improved coding performance. The early release reflects DeepMind's responsiveness to developer demand for the model.

8Google Deepmind Blog·1mo ago·source ↗

Gemini 3.1 Pro: A smarter model for your most complex tasks

Google DeepMind has announced Gemini 3.1 Pro, a new model positioned for complex reasoning tasks where simple answers are insufficient. The announcement comes from the official DeepMind blog, indicating a flagship-tier release. The body content is minimal, providing little technical detail beyond the positioning statement.

8Google Deepmind Blog·1mo ago·source ↗

Gemini 2.5: Updates to our family of thinking models

Google DeepMind has announced updates to the Gemini 2.5 model family, including Gemini 2.5 Pro reaching stable status, Gemini 2.5 Flash becoming generally available, and a new Gemini 2.5 Flash-Lite entering preview. These releases mark the maturation of DeepMind's 'thinking model' line with enhanced performance and accuracy. The updates span multiple tiers of the Gemini 2.5 family, from the flagship Pro to the lightweight Flash-Lite variant.

8Google Deepmind Blog·1mo ago·source ↗

Gemini 2.5: Google DeepMind's Most Intelligent AI Model with Built-in Thinking

Google DeepMind has announced Gemini 2.5, described as their most intelligent AI model to date, with thinking capabilities built directly into the model. The announcement comes from the official DeepMind blog and marks a significant step in Google's frontier model development. The integration of thinking natively into the model suggests a chain-of-thought or reasoning-first architecture similar to approaches seen in competing models.

9Google Deepmind Blog·1mo ago·source ↗

Gemini 3.5: Frontier Intelligence with Action

Google DeepMind has announced Gemini 3.5, a new model generation positioned around agentic capabilities and complex workflow execution. The announcement emphasizes action-oriented AI, suggesting a focus on tool use, multi-step reasoning, and autonomous task completion. The blog post is brief, indicating this may be an initial announcement with further details to follow.

6Google Deepmind Blog·1mo ago·source ↗

Updated Gemini 2.5 Pro Preview with Improved Coding Capabilities

Google DeepMind has released an updated version of Gemini 2.5 Pro Preview with enhanced coding capabilities, specifically targeting the development of rich, interactive web applications. The announcement comes from DeepMind's official blog, indicating a focused improvement on code generation and web app development use cases. No detailed technical specifics or benchmark results are provided in the body text.

5Google Deepmind Blog·1mo ago·source ↗

Gemini 2.5 Flash-Lite reaches general availability for production use

Google DeepMind has moved Gemini 2.5 Flash-Lite from preview to stable general availability. The model is positioned as a cost-efficient, small-footprint option within the 2.5 family, retaining key features including a 1 million-token context window and multimodal capabilities. It is now ready for scaled production deployment.

8Google Deepmind Blog·1mo ago·source ↗

Gemini Robotics 1.5 brings AI agents into the physical world

DeepMind has announced Gemini Robotics 1.5, a model designed to enable physical AI agents with capabilities spanning perception, planning, reasoning, tool use, and multi-step task execution. The release positions Gemini as a foundation for embodied robotics systems. This represents an extension of the Gemini model family into physical-world agentic applications.