Briefly
Google announced the artificial intelligence model Gemini 3.1 Pro — an updated link in the Gemini 3 family. It is already integrated into the Gemini 3 Deep Think update and is being gradually rolled out across the company's services: from developer tools to consumer applications.
Where you can try it
The model is available in preview for developers via the Gemini API in Google AI Studio, through Gemini CLI, Google Antigravity and Android Studio. Companies can work with 3.1 Pro in Vertex AI and Gemini Enterprise. For regular users the model is being gradually opened in the Gemini app and in NotebookLM — for Google AI Pro and Ultra subscribers.
"Gemini 3.1 Pro is designed for tasks that require complex analysis and multi-step reasoning, including processing large datasets, preparing structured explanations, or writing code."
— Google, official blog
What the model can do and facts
According to Google, Gemini 3.1 Pro shows noticeable improvements in logical reasoning tasks and adaptation to new types of problems. In the ARC-AGI-2 test it scored 77.1% — more than twice the score of the previous Gemini 3 Pro version. Examples of use include code generation, processing large datasets, and creating animated SVG files directly from text descriptions.
What it means for Ukraine
Gemini 3.1 Pro is not just another model. For Ukrainian developers and businesses it is a tool that can shorten prototyping time, automate routine analytical tasks, and ease content creation (for example, music tracks in Gemini for Ukrainian users or images in Chrome via the Nano Banana generator). For the public and defense sectors — a potential acceleration in modeling, logistics, and intelligence-processing tasks, provided proper security practices and data governance.
Risks and limitations
The model is currently in preview: this is an important stage for testing in real-world scenarios, but not a full release. Using powerful tools also raises questions about dependence on cloud providers, data protection and localization. Ukrainian companies should both experiment with new capabilities and establish rules for storing and processing sensitive information.
Conclusion
Gemini 3.1 Pro opens up new work tools — from code to analytics and content generation. Now the task for Ukrainian developers, startups, and government bodies is to quickly validate real use cases, build local solutions based on the new capabilities, and simultaneously manage risks related to data and infrastructure.
