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Gemini 3.1 Pro - Google's latest AI model, focused on complex reasoning

Author: AI小集 · Original source: AI工具集

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, focused on doubling reasoning capability. On the ARC-AGI-2 benchmark, its score jumped from 31.1% for Gemini 3 Pro to 77.1%, an increase of over 148%, setting the largest single-generation reasoning capability improvement among frontier models. It surpasses GPT-5.2 and Claude Opus 4.6 on key benchmarks such as GPQA Diamond, LiveCodeBench Pro, and SWE-Bench Verified. The model is designed for complex tasks, supports a million-token context window, and excels at scientific and engineering problem solving, data visualization, creative coding, and long-chain agent task execution.

Gemini 3.1 Pro

Main features of Gemini 3.1 Pro

  • Complex reasoning and problem solving: It scores 77.1% on the ARC-AGI-2 benchmark, a 148% improvement over the previous generation, and excels at handling scientific, engineering, and academic problems that require deep reasoning.
  • Advanced programming capabilities: LiveCodeBench Pro score 2887, SWE-Bench Verified score 80.6%, and it can directly generate complete website-level animated SVG code from text prompts.
  • Agent task execution: APEX-Agents score 33.5% (nearly doubled), ranks first on BrowseComp with 85.9%, and supports long-chain professional tasks and complex search.
  • Data integration and visualization: It synthesizes multi-source heterogeneous data into a unified view and generates clear, intuitive explanations of complex concepts and real-time dashboards.
  • Creative content generation: It supports generating interactive 3D experiences, generative audio, and scalable pure-code animation files with extremely small file sizes.
  • Multimodal understanding: It natively supports text, image, audio, and video input, and supports up to a 1 million token context and 64K token output.
  • Tool calling and automation: It introduces a dedicated endpoint to optimize agent scenarios that mix bash commands and custom functions, and supports automated configuration of complex systems.

Technical principles of Gemini 3.1 Pro

  • Sparse Mixture-of-Experts architecture (MoE): It adopts a sparse Mixture-of-Experts architecture with a total parameter count of 1 trillion and activates 32 billion parameters per forward pass, balancing efficient computation with high performance.
  • Native multimodal training: It natively supports multimodal understanding and generation of text, images, audio, and video from the underlying architecture, rather than simple modality concatenation.
  • Long context window technology: It supports up to 1 million token input and 64K token output, and uses efficient positional encoding and attention mechanism optimization for long-sequence processing.
  • Inference-time compute optimization: Through improved reasoning path search and verification mechanisms, it achieves a leap in performance on benchmarks requiring multi-step reasoning, such as ARC-AGI-2.
  • Tool-use enhanced architecture: Optimized for agent scenarios, it supports mixed calls to bash commands, custom functions, and external APIs, and introduces a dedicated endpoint.gemini-3.1-pro-preview-customtools。
  • Efficient Transformer variants: Based on the standard Transformer, it fine-tunes the architecture for code generation, mathematical reasoning, and agent tasks to improve performance in specific domains.
Gemini 3.1 Pro

How to use Gemini 3.1 Pro

  • Google AI Studio: Developers can directly call the API on the AI Studio platform, select thegemini-3.1-pro-preview-02-19model for testing and development.
  • Gemini CLI: Interact directly with the model in the terminal through command-line tools, suitable for developers to quickly validate and script calls.
  • Google Antigravity: Build complex Agent workflows on Google's agent development platform, supporting long-chain task orchestration.
  • Vertex AI: Enterprise users gain enterprise-grade security and management capabilities through integration with the Google Cloud Platform Vertex AI service.
  • Gemini App: Regular users can use it directly in the Gemini App, while Pro and Ultra subscribers enjoy higher usage limits.

Project address of 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 reasoning: Suitable for academic scenarios requiring deep cognitive abilities, such as advanced science Q&A like GPQA Diamond, complex mathematical proofs, and multi-step logical deduction.
  • Software engineering and code generation: 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 visualization: Integrates multi-source heterogeneous data, builds real-time dashboards (such as aerospace telemetry data visualization), and generates intuitive data insight reports.
  • Agent automation: Executes long-chain professional tasks, such as automated research, complex information retrieval, cross-system tool invocation, and process orchestration.
  • Creative design and content production: Generates 3D interactive experiences, generative audio, and vector animations, supporting creative workflows from concept to finished product.
  • Enterprise knowledge management: Leverages a million-token long context to process massive documents, contracts, and research reports, enabling intelligent summarization, Q&A, and knowledge extraction.