Google: Gemma 4 31B (free)
Open reasoning. No limits.
Dense intelligence for complex tasks
Extended Context
256K token window
Process massive documents, codebases, and conversations without truncation or loss.
Multimodal Processing
Vision and text reasoning
Understand images, PDFs, charts, and UI screens alongside text for comprehensive analysis.
Agentic Workflows
Built-in function calling
Native system prompt support and reasoning mode enable autonomous agents and complex logic.
Examples
See what Google: Gemma 4 31B (free) can create
Copy any prompt below and try it yourself in the playground.
Code Analysis
“Analyze this Python codebase for performance bottlenecks and suggest optimizations. Focus on memory usage and execution speed.”
Document Processing
“Extract key financial metrics from this quarterly earnings report PDF and summarize trends across the last three years.”
Reasoning Task
“Break down the steps to design a scalable microservices architecture for a real-time analytics platform handling 1M events per second.”
Multi-turn Agent
“Act as a research assistant. Search for information about recent advances in transformer optimization, synthesize findings, and recommend next steps.”
For Developers
A few lines of code.
31B reasoning. Three lines.
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: Gemma 4 31B (free) on ModelsLab.