Google has introduced the Gemini 3.1 Pro AI model, marking a significant update to its Gemini ecosystem. The new release focuses on improved reasoning, deeper problem-solving, and enhanced intelligence designed to power more demanding workflows.
With the rollout now underway across consumer and enterprise platforms, the company is positioning this upgrade as a foundation for future AI experiences.
Gemini 3.1 Pro brings stronger reasoning
According to Google, Gemini 3.1 Pro represents a meaningful improvement over earlier Gemini 3 models by refining core intelligence rather than simply adding new features. The model is intended for situations where straightforward responses are insufficient, such as explaining complicated concepts visually, combining large datasets into cohesive outputs, or supporting creative and technical projects.
It is now available through the Gemini app, NotebookLM for select subscribers, developer tools such as Google AI Studio, and enterprise platforms including Vertex AI. Sundar Pichai highlighted that the upgraded baseline allows users to tackle highly complex tasks more efficiently, while Google Labs executive Josh Woodward pointed to improvements in agentic workflows, coding, and structured data synthesis.
Benchmark scores and real-world positioning
Google also emphasised performance gains across several industry benchmarks. Gemini 3.1 Pro reportedly achieved a verified score of 77.1 percent on the ARC-AGI-2 test, which measures a model’s ability to solve unfamiliar logic problems, marking a substantial leap compared to the previous version.
On Humanity’s Last Exam, it secured 44.4 percent, ahead of competing models in standard evaluation scenarios, though some rivals still maintain a narrow edge when additional tools are enabled. In software engineering benchmarks such as SWE-Bench Verified, results remain closely contested among leading AI systems.
The company says this preview phase will help refine agent-based workflows further before broader availability, signalling continued rapid iteration in the evolving AI model landscape.
ALSO READ: Google adds Nano Banana to Chrome with deeper Gemini integration
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Anvinraj Valiyathara
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