Gemini 3.1 Pro
Gemini 3.1 Pro is Google’s flagship frontier reasoning model engineered for complex problem-solving, long-horizon agentic workflows, and natively multimodal context processing. Built on a distillation of Google DeepMind’s Deep Think architecture, Gemini 3.1 Pro delivers a massive leap in abstract reasoning, multi-file software engineering, and high-precision structured execution.
Model Overview
Gemini 3.1 Pro represents a focused mid-cycle intelligence update to the Gemini 3 architecture, specifically targeted at reducing generation truncation, increasing ARC-AGI pattern recognition, and improving autonomous tool usage.
- Developer: Google DeepMind
- Model Class: Multimodal Frontier Reasoning Engine
- Release Date: February 2026
- Primary Target Use Cases: Autonomous web research, multi-repository code execution, interactive code-based design (SVG/3D canvas), scientific literature synthesis, and agentic tool workflows.
Core Capabilities & Performance Profile
Dynamic Thinking & Abstract Reasoning
- ARC-AGI-2 Intelligence Jump: Achieves a verified score of 77.1% on the ARC-AGI-2 benchmark—more than double the abstract pattern-matching capabilities of Gemini 3 Pro.
- Configurable
thinking_level: Integrates granular control over internal chain-of-thought depth with four API levels: low, medium, high, and max.
- No Truncation Generation: Resolves long-form cutoff limits, allowing the generation of complete, massive single-run responses (e.g., full web apps, complex math derivations) up to 64k tokens.
Native Multimodality & Code-Based Output
- Massive Context & Inputs: Natively ingests text, code, high-frame-rate video (up to 10 FPS), native audio streams, and dense visual PDFs across a 1,048,576 token input window.
- Code-Based Vector & Visual Synthesis: Produces crisp, crisp-scalable animated SVGs, Three.js 3D environments, and functional telemetry dashboards rendered directly through code rather than video files.
- Visual Spatial Grounding: Native support for 2D pixel-coordinate pointing, open-vocabulary object intent tracking, and spatial plan generation for robotics/XR interfaces.
Agentic Execution
- Optimized for high autonomy in CLI, browser, and IDE execution platforms (including Google Antigravity, Android Studio, and custom terminal agent loops).
- Dedicated
gemini-3.1-pro-preview-customtools endpoint for parallel tool calling, bash integration, and search grounding.
Technical Specifications
| Parameter |
Specification |
| Model ID |
gemini-3.1-pro-preview |
| Input Context Window |
1,048,576 tokens (1M) |
| Max Output Tokens |
65,536 tokens (64k) |
| Input Modalities |
Text, Code, Images, Audio, Video, PDF |
| Output Modalities |
Text, Code, Structured JSON |
| Reasoning Controls |
thinking_level (low, medium, high, max) |
| Built-in Integrations |
Search Grounding, Maps Grounding, Code Execution, Context Caching |