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.
Related guides (4)
Related events (8)
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.
Introducing Gemini 2.5 Flash
Google DeepMind has released Gemini 2.5 Flash, described as their first fully hybrid reasoning model. The model allows developers to toggle 'thinking' (extended reasoning) on or off, combining standard and chain-of-thought inference modes in a single model. It is available to developers and represents a new architectural approach to balancing reasoning depth with inference cost.
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.
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.
A new era of intelligence with Gemini 3
DeepMind has published a blog post titled 'A new era of intelligence with Gemini 3,' suggesting a major new model release or announcement in the Gemini series. The body content was not provided, but the title and source indicate this is a flagship model announcement from Google DeepMind. This would represent the next generation of the Gemini model family following Gemini 2.x.
Google DeepMind Rolls Out Deep Think in Gemini App for Ultra Subscribers
Google DeepMind is making Deep Think available in the Gemini app for Google AI Ultra subscribers, marking a broader consumer rollout of its advanced reasoning capability. Additionally, select mathematicians are being granted access to the full Gemini 2.5 Deep Think model that was entered into the International Mathematical Olympiad (IMO) competition. This deployment follows DeepMind's earlier IMO-related capability demonstrations and represents a step toward productizing frontier mathematical reasoning.
Gemini Robotics brings AI into the physical world
Google DeepMind has announced Gemini Robotics and Gemini Robotics-ER, two AI models purpose-built for robotic systems to perceive, reason about, and act within physical environments. The release extends the Gemini model family into embodied AI and robotics applications. Gemini Robotics-ER appears to target enhanced reasoning capabilities for robotic control. This marks a significant step by DeepMind toward deploying frontier multimodal models in physical-world settings.
Gemini 3 Deep Think: Advancing science, research and engineering
DeepMind has announced an update to Gemini 3 Deep Think, described as their most specialized reasoning mode, targeting science, research, and engineering challenges. The announcement comes from the official DeepMind blog and positions this as a capability advancement over prior reasoning modes. The body is brief and lacks technical specifics, but the naming convention suggests this is a distinct reasoning-focused variant of the Gemini 3 model family. No benchmark results, architecture details, or availability information are provided in the excerpt.



