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Available now on ModelsLab · Language Model

Google: Gemma 4 31B (free)Open reasoning. No limits.

Try Google: Gemma 4 31B (free)API Documentation

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Google: Gemma 4 31B (free)

Read the docs

Gemma 4 31B ranks #3 on the Arena AI leaderboard and outperforms models 20x its size. It combines dense architecture with 256K context, native vision support, and agentic capabilities built from Gemini 3 research.

Yes. Gemma 4 is released under Apache 2.0, a commercially permissive license. You can deploy it freely in production environments.

The model supports object detection, document/PDF parsing, screen and UI understanding, chart comprehension, OCR in multiple languages, and handwriting recognition at variable resolutions.

With 256K tokens, you can process entire codebases, long documents, or extended conversations in a single request without chunking, enabling deeper reasoning and better context retention.

Yes. Gemma 4 includes smaller variants (E2B, E4B) optimized for edge and mobile. The 31B dense model works on servers and high-end local hardware with GPU support.

Gemma 4 is fluent in over 140 languages, making it suitable for multilingual reasoning, translation, and content generation tasks.

Ready to create?

Start generating with Google: Gemma 4 31B (free) on ModelsLab.

Try Google: Gemma 4 31B (free)API Documentation