On February 19, 2026, Google launched Gemini 3.1 Pro. This new version focuses on better reasoning, handling large amounts of information, and completing complex tasks step by step.
Instead of only giving quick answers, this model is designed to think through problems more carefully and manage longer tasks.
Gemini 3.1 Pro Expands to 1 Million Token Context Window
Gemini 3.1 Pro comes with a 1 million token context window. This means it can read and understand much more information at one time.
For example, it can process long research papers, big PDF files, full code projects, and long meeting transcripts without losing track of earlier details.
This helps users get more accurate summaries and better answers when working with large documents.
Better Reasoning
Google says this version improves how the model thinks through problems.
It is designed to handle step-by-step reasoning. This is useful for tasks like solving math problems, writing complex code, or analyzing technical topics.
Instead of rushing to give a fast reply, the model is built to work through the problem more carefully.
Support for Developer Workflows
Gemini 3.1 Pro also improves how it works with developers.
It can follow detailed instructions, generate multi-file code, plan database changes, and help with software projects over several steps. Google sometimes calls this style of working “vibe coding,” where the model works together with the user through multiple instructions.
This makes it more useful for real development tasks, not just simple coding examples.
Fewer Hallucinations
According to Google, Gemini 3.1 Pro performs strongly in reasoning and coding benchmarks.
It shows higher scores in some tests compared to models from Anthropic and OpenAI.
Benchmark scores can vary depending on how tests are conducted, but the results suggest clear improvements over earlier Gemini versions.
Availability
Gemini 3.1 Pro is available across different platforms. Regular users can access it through the Gemini app and NotebookLM. Paid subscription plans offer higher usage limits.
Developers can use it through the Gemini API in Google AI Studio and other development tools. Businesses can deploy it using Vertex AI for secure enterprise use. The model also works within tools connected to GitHub for coding support.
Conclusion
Gemini 3.1 Pro focuses on handling more information, improving reasoning, and supporting longer tasks.
It is designed to be more reliable and useful for technical, research, and development work. While it still requires human review, the update shows progress in building AI systems that can manage complex workflows more effectively.
