Google DeepMind announced Gemini 3.1 Pro, the latest advancement in its Gemini AI model lineup designed to address complex reasoning, synthesis, and multi-step problem-solving tasks with more capable core intelligence and broader availability across Google’s AI ecosystem.
Building upon the Gemini 3 series, Gemini 3.1 Pro represents a step forward in core reasoning performance and practical application. The model demonstrates significantly higher reasoning capabilities than its predecessor, achieving a verified 77.1 percent score on the ARC-AGI-2 benchmark, a test designed to evaluate ability to solve entirely new logic patterns, more than doubling the reasoning performance of Gemini 3 Pro.
Gemini 3.1 Pro is designed for challenging AI applications where direct answers are not enough, such as synthesizing complex information, providing straightforward visual explanations of complex subjects, integrating data views, and assisting with creative or analytical projects. The model has the capability to generate animated SVGs ready for websites from text inputs, build interactive dashboards based on real-time telemetry data, and transform thematic inputs into functional and aesthetic code structures.
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The updated model is rolling out in preview today across multiple platforms and products, ensuring broad developer, enterprise, and consumer access. Developers can access Gemini 3.1 Pro through the Gemini API in Google AI Studio, the Gemini CLI, Android Studio, and the agentic development platform Google Antigravity. Enterprise customers can integrate the model via Vertex AI and Gemini Enterprise, while consumers and creators can use the new intelligence within the Gemini app and NotebookLM, with higher usage limits for Google AI Pro and Ultra plans.
Gemini 3.1 Pro’s expanded reasoning capabilities support advanced synthesis of APIs into user-friendly designs, enhanced structured output generation, and creative coding tasks that go beyond basic responses. The preview rollout enables feedback-driven refinement of the model before broader general availability, as Google continues to advance agentic AI workflows and integrate them more deeply into real-world applications.