---
title: Gemma 4 31B — Open LLM for Reasoning | ModelsLab
description: Run Google's Gemma 4 31B free. 256K context, vision capabilities, and agentic workflows. Generate, reason, and code with open models.
url: https://modelslab.com/google-gemma-4-31b-free
canonical: https://modelslab.com/google-gemma-4-31b-free
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:02:51.015184Z
---

Available now on ModelsLab · Language Model

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

[Try Google: Gemma 4 31B (free)](/models/open_router/google-gemma-4-31b-it-free) [API Documentation](https://docs.modelslab.com)

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](/models/open_router/google-gemma-4-31b-it-free).

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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about Google: Gemma 4 31B (free)
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[Read the docs ](https://docs.modelslab.com)

### What makes Gemma 4 31B different from other free LLMs?

### Can I use Gemma 4 31B for commercial applications?

### What are the vision capabilities of Gemma 4 31B?

### How does the 256K context window benefit my use case?

### Is Gemma 4 31B suitable for on-device deployment?

### What languages does Gemma 4 31B support?

Ready to create?
---

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

[Try Google: Gemma 4 31B (free)](/models/open_router/google-gemma-4-31b-it-free) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*