Google Unveils Gemini 3.1 Pro with Enhanced Reasoning, Now Available in GitHub Copilot

Google has unveiled Gemini 3.1 Pro, its most advanced reasoning-focused AI model to date, boasting more than double the performance of its predecessor on challenging logical and analytical benchmarks. Announced on February 19, 2026, the new model introduces an innovative "adjustable reasoning" feature that allows users to dynamically scale computational depth based on task complexity—earning it the internal nickname "Deep Think Mini." According to VentureBeat, Gemini 3.1 Pro excels in tasks ranging from intricate math puzzles to generating complex SVG animations from natural language prompts, demonstrating unprecedented fluency in both symbolic reasoning and visual code synthesis.

The model’s integration into GitHub Copilot, as confirmed by GitHub’s official changelog, represents a pivotal moment in developer tooling. In public preview since the same day, developers can now select Gemini 3.1 Pro as their preferred AI assistant within the Copilot interface, enabling more accurate, context-aware code suggestions, especially for multi-step logic, algorithmic optimization, and intricate UI implementations. This move positions GitHub Copilot as a more formidable competitor to rival AI coding assistants, leveraging Google’s cutting-edge reasoning architecture to elevate productivity across programming languages and frameworks.

Beyond code generation, Gemini 3.1 Pro is now available across Google’s ecosystem, including the Gemini app and NotebookLM (both Pro and Ultra tiers), empowering researchers, students, and professionals to tackle complex data analysis, document summarization, and hypothesis testing with greater precision. The model’s ability to maintain coherence over extended reasoning chains—such as tracing dependencies in a 50-line algorithm or debugging recursive functions—has been validated against industry-standard benchmarks like MATH, GSM8K, and HumanEval, where it outperformed prior models by margins exceeding 120% in some categories.

What sets Gemini 3.1 Pro apart is its adaptive reasoning engine. Rather than applying uniform computational effort across all queries, the model intelligently allocates resources: simple queries receive lightweight responses, while complex problems trigger deeper, multi-step deliberation. This efficiency not only improves accuracy but also reduces latency and computational overhead, making it suitable for real-time applications. VentureBeat’s early testing revealed that when prompted to generate an animated SVG clock with rotating hands and a ticking second hand, the model produced clean, functional code on the first attempt—something previous versions often required multiple iterations to achieve.

Industry analysts view this release as a strategic countermove to rival models from Anthropic, Meta, and OpenAI, which have recently pushed the boundaries of reasoning in open and closed systems. Google’s decision to open the model to GitHub Copilot users—without requiring a separate subscription—signals an intent to accelerate adoption among the global developer community. With over 100 million developers using GitHub, this integration could become one of the most impactful AI deployments in software history.

As with any public preview, users are encouraged to provide feedback on accuracy, bias, and edge cases. Google has not yet announced a timeline for general availability, but internal sources suggest a full rollout could occur within the next quarter. For now, developers can access Gemini 3.1 Pro in Copilot by updating to the latest version and selecting the model from the AI picker menu. The combination of enhanced reasoning, seamless integration, and developer-centric design makes Gemini 3.1 Pro not just an upgrade—but a new standard for AI-assisted programming.