Google: Gemini 3.1 Pro Preview
Reason Deeper. Build Smarter
Refine Complex Workflows
Agentic Precision
Multi-Step Execution
Handles precise tool usage and reliable multi-step tasks in real-world domains.
Token Efficiency
1M Context Window
Processes 1,048,576 input tokens with 65,536 output for extended reasoning.
Multimodal Inputs
Text Audio Video
Supports text, image, video, audio, PDF for comprehensive analysis.
Examples
See what Google: Gemini 3.1 Pro Preview can create
Copy any prompt below and try it yourself in the playground.
Code Animation
“Generate crisp, scalable SVG code for an animated urban skyline timelapse at dusk, using pure vector graphics with smooth transitions and glowing lights.”
System Dashboard
“Design a real-time aerospace telemetry dashboard in HTML/CSS/JS, integrating mock API data streams for altitude, velocity, and fuel levels with dynamic charts.”
Engineering Synthesis
“Synthesize a complete Node.js backend for user authentication, including JWT tokens, database schema, and API endpoints with error handling.”
Reasoning Chain
“Step-by-step analyze this architectural blueprint image: identify structural flaws, suggest reinforcements, and output JSON repair plan with costs.”
For Developers
A few lines of code.
Agentic reasoning. One call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Google: Gemini 3.1 Pro Preview on ModelsLab.