Google Launches Gemini 3.1 Pro with Major Reasoning Breakthrough

February 19, 2026

Details

  • Google AI announced Gemini 3.1 Pro, a significant upgrade focused on core reasoning, scoring 77.1% on ARC-AGI-2—more than double Gemini 3 Pro's performance on this benchmark for novel logic patterns.
  • The model rolls out across consumer products like the Gemini app and NotebookLM, plus developer platforms including Google AI Studio, Vertex AI, and GitHub Copilot.
  • Key advancements include sharper handling of complex multi-step tasks, agentic coding (80.6% on SWE-Bench Verified), scientific knowledge (94.3% on GPQA Diamond), and capabilities like generating animated SVGs from text prompts and processing vast datasets with a 1M token context window.
  • This marks Google's first .1 increment, signaling a targeted intelligence boost rather than broad features, building on Gemini 3 Deep Think's reasoning engine for wider access.
  • Available in preview for validation, with higher limits for Google AI Pro and Ultra subscribers; supports text, images, video, audio, PDFs, and code repositories.
  • Optimized for software engineering, tool use, and agentic workflows in domains like finance and spreadsheets, with improved token efficiency.

Impact

Google's Gemini 3.1 Pro release intensifies competition in frontier AI reasoning, doubling ARC-AGI-2 scores over its predecessor and surpassing rivals like OpenAI's GPT series and Anthropic's Claude on agentic coding benchmarks such as SWE-Bench Verified at 80.6% and LiveCodeBench Elo at 2887. This positions Google ahead in abstract reasoning for unseen patterns, pressuring competitors to accelerate similar capabilities amid the race for reliable multi-step agents. By integrating advanced reasoning into consumer apps and developer tools with a 1M token context, it lowers barriers for building intelligent applications, potentially widening adoption in enterprise workflows like GitHub Copilot and Vertex AI. The focus on agentic improvements aligns with industry trends toward autonomous AI systems, while expanded multimodal support could steer R&D toward on-device and real-time inference over the next 12-24 months, though preview status tempers immediate shifts as Google refines reliability.

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