Gemini 3.1 Pro - Google's latest AI model, specializing in complex reasoning.

What is Gemini 3.1 Pro?

Gemini 3.1 Pro is Google's latest AI model and the first "0.1" version iteration of the Gemini 3 series, boasting a doubling of its inference capabilities. In the ARC-AGI-2 benchmark, its score jumped from 31.1% of Gemini 3 Pro to 77.1%, an improvement of over 148%, marking the largest single-generation inference capability increase among leading models. It surpasses GPT-5.2 and Claude Opus 4.6 on key benchmarks such as GPQA Diamond, LiveCodeBench Pro, and SWE-Bench Verified. Designed for complex tasks, the model supports a million-token context window and excels in solving scientific and engineering problems, data visualization, creative coding, and agent-based long-chain task execution.

Main features of Gemini 3.1 Pro

• Complex Reasoning and Problem SolvingIt scored 77.1% in the ARC-AGI-2 benchmark test, an improvement of 148% over the previous generation, and excels at handling scientific, engineering and academic problems that require deep reasoning.
• Advanced programming skillsLiveCodeBench Pro scored 2887, and SWE-Bench Verified scored 80.6%. It can directly generate complete website-level animated SVG code from text prompts.
• Agent task executionAPEX-Agents scored 33.5% (nearly double), while BrowseComp ranked first with 85.9%, supporting long-chain professional tasks and complex searches.
• Data integration and visualizationIt synthesizes heterogeneous data from multiple sources into a unified view, generating clear and intuitive explanations of complex concepts and real-time dashboards.
• Creative content generationIt supports generating interactive 3D experiences, generative audio, and scalable, extremely small pure code animation files.
• Multimodal understandingIt natively supports text, image, audio, and video input, and supports up to 1 million token contexts and 64K token output.
• Tool Invocation and AutomationIntroducing dedicated endpoint optimization for Agent scenarios that combine bash commands and custom functions, supporting automated configuration of complex systems.

Technical principles of Gemini 3.1 Pro

• Sparse Expert Hybrid Architecture (MoE)It adopts a sparse expert hybrid architecture with a total of 1 trillion parameters. Each forward propagation activates 32 billion parameters, achieving a balance between efficient computing and high performance.
• Native multimodal trainingIt natively supports multimodal understanding and generation of text, images, audio, and video from the underlying architecture, rather than simple modal splicing.
• Long context window technologyIt supports up to 1 million token inputs and 64K token outputs, and uses efficient positional encoding and attention mechanisms to optimize long sequence processing.
• Inference-time computation optimizationAchieve a performance leap on benchmarks requiring multi-step inference, such as ARC-AGI-2, through improved inference path search and verification mechanisms.
• Tools use enhanced architectureOptimized for Agent scenarios, it supports mixed calls using bash commands, custom functions, and external APIs, and introduces a dedicated endpoint.gemini-3.1-pro-preview-customtools.
• High-efficiency Transformer variantsIt fine-tunes the architecture of the standard Transformer for code generation, mathematical reasoning, and agent tasks, improving performance in specific domains.

How to use Gemini 3.1 Pro

• Google AI StudioDevelopers can directly call the API on the AI Studio platform and select...gemini-3.1-pro-preview-02-19The model is tested and developed.
• Gemini CLIIt allows direct interaction with the model via command-line tools in the terminal, making it suitable for developers to quickly verify and script-based calls.
• Google Antigravity: Build complex agent workflows on the Google Agents development platform and support long-chain task orchestration.
• Vertex AIEnterprise users gain enterprise-grade security and management capabilities through integration with Google Cloud Platform Vertex AI services.
• Gemini AppRegular users can use it directly in the Gemini App, while Pro and Ultra subscribers enjoy higher call limits.

Project address for Gemini 3.1 Pro

• Project official website: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/

Application scenarios of Gemini 3.1 Pro

• Scientific research and academic reasoningIt is suitable for academic scenarios that require deep cognitive abilities, such as advanced scientific question answering like GPQA Diamond, complex mathematical proofs, and multi-step logical deductions.
• Software Engineering and Code GenerationIt supports full-stack development, code review, bug fixing, and algorithm optimization, and can directly generate runnable website-level animations and interactive applications.
• Data intelligence and visualizationIntegrate multi-source heterogeneous data to build real-time dashboards (such as aerospace telemetry data visualization) and generate intuitive data insight reports.
• Intelligent agent automation: Perform long-chain professional tasks, such as automated research, complex information retrieval, cross-system tool calls and workflow orchestration.
• Creative Design and Content ProductionGenerates 3D interactive experiences, generative audio, and vector animation, supporting creative workflows from concept to finished product.
• Enterprise knowledge managementIt leverages a million-token long context to process massive amounts of documents, contracts, and research reports, enabling intelligent summarization, question answering, and knowledge extraction.