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Gemini 3.1 Pro: Google Doubles Down on Reasoning Capabilities

AI Model Gemini Large Language Model Google AI Developer Platform Agentic Workflows Reasoning Benchmarks
February 19, 2026
Source: DeepMind
Viqus Verdict Logo Viqus Verdict Logo 6
Evolution, Not Revolution
Media Hype 6/10
Real Impact 6/10

Article Summary

Google has unveiled Gemini 3.1 Pro, a significant update to its Gemini language model, targeting complex problem-solving and advanced reasoning. The release focuses on bolstering the model’s ability to handle intricate tasks, reflected in improved performance on benchmarks like ARC-AGI-2, where 3.1 Pro achieved a verified score of 77.1%, more than double that of the previous Gemini 3 Pro. Key improvements include enhanced data synthesis, visual explanations of complex topics, and the ability to generate interactive 3D experiences like the ‘murmuration’ of starlings. Notably, 3.1 Pro can also generate website-ready, animated SVGs directly from text prompts and even build functional code for applications like a live aerospace dashboard visualizing the International Space Station's orbit. Google is rolling out 3.1 Pro in preview to developers, enterprises, and consumers via the Gemini API, Google AI Studio, Vertex AI, and the Gemini app. This release demonstrates Google's continued investment in pushing the boundaries of Gemini's capabilities.

Key Points

  • Gemini 3.1 Pro significantly outperforms Gemini 3 Pro on reasoning benchmarks like ARC-AGI-2.
  • The model now enables capabilities such as generating animated SVGs and building interactive 3D experiences.
  • The release is rolling out to developers, enterprises, and consumers via multiple platforms, including the Gemini API and Google AI Studio.

Why It Matters

While incremental, this release represents a tangible step forward in Gemini’s core reasoning abilities. The performance gains on benchmarks like ARC-AGI-2 and the expanded use cases (dynamic visuals, interactive systems) demonstrate a shift beyond simple text generation. This will be crucial for businesses and researchers exploring advanced AI applications – especially those requiring sophisticated data analysis and visualization.

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