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

Gemini 3.1 Pro is the latest AI model launched by Google. It is the first “0.1” version iteration of the Gemini 3 series, focusing on doubling its reasoning capabilities. In the ARC-AGI-2 benchmark test, the score jumped from 31.1% of Gemini 3 Pro to 77.1%, an increase of over 148%, setting a record for the largest improvement in single-generation reasoning capabilities of a cutting-edge model. 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 specially designed for complex tasks, supports millions of Token context windows, and is good at solving scientific and engineering problems, data visualization, creative coding and agent long-chain task execution.

Main features of Gemini 3.1 Pro

• Complex reasoning and problem solving : It scored 77.1% in the ARC-AGI-2 benchmark test, an increase of 148% compared to the previous generation. It is good at handling scientific, engineering and academic problems that require deep reasoning.
• Advanced programming skills : LiveCodeBench Pro score is 2887, SWE-Bench Verified score is 80.6%, and complete website-level animated SVG code can be generated directly from text prompts.
• Agent task execution : APEX-Agents scored 33.5% (nearly doubled), and BrowseComp ranked first with 85.9%, supporting long-chain professional tasks and complex searches.
• Data integration and visualization : Synthesize heterogeneous data from multiple sources into a unified view, generating clear and intuitive explanations of complex concepts and real-time dashboards.
• Creative content generation : Supports the generation of interactive 3D experiences, generative audio, and scalable, extremely small code-only animation files.
• multimodal understanding : Natively supports text, image, audio, and video input, supports up to 1 million Token contexts and 64K Token output.
• Tool calling and automation : Introducing agent scenarios where dedicated endpoints are optimized for mixed use of bash commands and custom functions to support automated configuration of complex systems.

Technical principles of Gemini 3.1 Pro

• Sparse Hybrid Architecture of Experts (MoE) : Adopting a sparse expert hybrid architecture, the total number of parameters reaches 1 trillion, and each forward propagation activates 32 billion parameters to achieve a balance between efficient computing and high performance.
• Native multi-modal training : Natively supports multi-modal understanding and generation of text, images, audio, and videos from the underlying architecture, which is not a simple modal splicing.
• long context window technology : Supports up to 1 million Token input and 64K Token output, and uses efficient position coding and attention mechanisms to optimize long sequence processing.
• Computational optimization during inference : Through improved inference path search and verification mechanisms, a performance leap is achieved on benchmarks such as ARC-AGI-2 that require multi-step inference.
• Tool Usage Enhancement Architecture : Optimized for Agent scenarios, supports mixed calls of bash commands, custom functions and external APIs, and launches dedicated endpointsgemini-3.1-pro-preview-customtools.
• Efficient Transformer variant : Based on the standard Transformer, the architecture is fine-tuned for code generation, mathematical reasoning and Agent tasks to improve performance in specific fields.

How to use Gemini 3.1 Pro

• **Google AI Studio : Developers can directly call the API on the AI Studio platform and selectgemini-3.1-pro-preview-02-19Models are tested and developed.
• Gemini CLI** : Directly interact with the model in the terminal through command line tools, suitable for developers to quickly verify and script calls.
• Vertex AI : Enterprise users gain enterprise-level security and management capabilities through Google Cloud Platform Vertex AI service integration.
• Gemini App : Ordinary users can use it directly in the Gemini App, and Pro and Ultra subscriber users have higher calling limits.

Gemini 3.1 Pro project address

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

Gemini 3.1 Pro application scenarios

• Scientific research and academic reasoning : Suitable for academic scenarios that require deep cognitive abilities such as GPQA Diamond and other advanced scientific question and answer, complex mathematical proofs, multi-step logical derivation, etc.
• Software Engineering and Code Generation : Supports full-stack development, code review, bug fixing, algorithm optimization, and can directly generate runnable website-level animations and interactive applications.
• Data Intelligence and Visualization : Integrate multi-source heterogeneous data, build real-time dashboards (such as aerospace telemetry data visualization), and generate intuitive data insight reports.
• agent automation : Perform long-chain professional tasks, such as automated research, complex information retrieval, cross-system tool invocation and process orchestration.
• Creative design and content production : Generate 3D interactive experience, generative audio, and vector animation to support creative workflow from concept to finished product.
• Enterprise knowledge management : Use the long context of millions of tokens to process massive documents, contracts, and research reports to achieve intelligent summarization, question and answer, and knowledge extraction. ©