---
title: Gemma 3 12B Free — Powerful LLM | ModelsLab
description: Access Google Gemma 3 12B free model via API for multimodal reasoning in 140+ languages. Try 128k context and function calling now.
url: https://modelslab.com/google-gemma-3-12b-free
canonical: https://modelslab.com/google-gemma-3-12b-free
type: website
component: Seo/ModelPage
generated_at: 2026-05-05T20:10:40.182620Z
---

Available now on ModelsLab · Language Model

Google: Gemma 3 12B (free)
Gemma 3 12B Free
---

[Try Google: Gemma 3 12B (free)](/models/open_router/google-gemma-3-12b-it-free) [API Documentation](https://docs.modelslab.com)

Run Gemma 3 Efficiently
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Multimodal Input

### Vision-Language Processing

Handles images, text, videos with 128k token context window.

140+ Languages

### Global Multilingual Support

Supports over 140 languages for worldwide applications.

Function Calling

### Structured Outputs

Enables agentic workflows and complex task automation.

Examples

See what Google: Gemma 3 12B (free) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/google-gemma-3-12b-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)”

Math Proof

“Prove that the sum of the first n natural numbers is n(n+1)/2 using mathematical induction.”

Tech Summary

“Summarize the key features of quantum computing hardware from recent advancements.”

Data Analysis

“Analyze this dataset on renewable energy trends: \[2023: Solar 45%, Wind 30%, Hydro 25%\]; predict 2025 growth.”

For Developers

A few lines of code.
Gemma 3. One API 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 12B (free)
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[Read the docs ](https://docs.modelslab.com)

### What is Google: Gemma 3 12B (free)?

Gemma 3 12B is a lightweight multimodal LLM from Google with 128k context. It supports vision-language tasks and runs on single GPU. Free access via API providers.

### How to use Google: Gemma 3 12B (free) API?

Integrate via OpenAI-compatible endpoints. Supports completion API with zero cost on select providers. Handles up to 128k tokens input.

### Is Google: Gemma 3 12B (free) model multimodal?

Yes, processes vision-language inputs and text outputs. Analyzes images, text, short videos.

### What is Google: Gemma 3 12B (free) alternative?

Best free option for Gemma 3 12B via API. Outperforms similar sizes in reasoning and multilingual tasks.

### Does google gemma 3 12b free support function calling?

Yes, includes function calling for structured outputs. Builds agentic AI workflows.

### Google gemma 3 12b free API context length?

Up to 128k tokens. Processes vast information for complex reasoning.

Ready to create?
---

Start generating with Google: Gemma 3 12B (free) on ModelsLab.

[Try Google: Gemma 3 12B (free)](/models/open_router/google-gemma-3-12b-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 - 2026-05-06*