---
title: Gemma 3 4B Free — Efficient LLM | ModelsLab
description: Run Google: Gemma 3 4B (free) model via API for fast text generation and reasoning. Try multimodal inference on single GPU now.
url: https://modelslab.com/google-gemma-3-4b-free
canonical: https://modelslab.com/google-gemma-3-4b-free
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:02:52.005191Z
---

Available now on ModelsLab · Language Model

Google: Gemma 3 4B (free)
Gemma 3 4B Free
---

[Try Google: Gemma 3 4B (free)](/models/open_router/google-gemma-3-4b-it-free) [API Documentation](https://docs.modelslab.com)

Run Lightweight Power
---

128K Context

### Process Vast Data

Handle long inputs with 128K-token window for complex reasoning tasks.

Multimodal Input

### Text Image Reasoning

Analyze text and images for summarization and question answering.

140 Languages

### Global Multilingual Support

Build apps supporting over 140 languages out of the box.

Examples

See what Google: Gemma 3 4B (free) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/google-gemma-3-4b-it-free).

Code Review

“Review this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”

Text Summary

“Summarize key points from this article on AI edge computing in under 100 words.”

Image Analysis

“Describe elements in this chart image and extract trends in sales data over quarters.”

Multilingual Query

“Translate this English prompt to Spanish then generate a poem about mountains in Spanish.”

For Developers

A few lines of code.
Gemma 3 4B. 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

[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 3 4B (free)
---

[Read the docs ](https://docs.modelslab.com)

### What is Google: Gemma 3 4B (free)?

### How to access Google: Gemma 3 4B (free) API?

### Is Google: Gemma 3 4B (free) model multimodal?

### Google: Gemma 3 4B (free) alternative to what?

### Does google gemma 3 4b free support function calling?

### Run google gemma 3 4b free api locally?

Ready to create?
---

Start generating with Google: Gemma 3 4B (free) on ModelsLab.

[Try Google: Gemma 3 4B (free)](/models/open_router/google-gemma-3-4b-it-free) [API Documentation](https://docs.modelslab.com)

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*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*