---
title: Gemma 3 27B Free — Multimodal LLM | ModelsLab
description: Access Google: Gemma 3 27B (free) via API for text and image inputs with 128k context. Generate QA, summaries, reasoning outputs now.
url: https://modelslab.com/google-gemma-3-27b-free
canonical: https://modelslab.com/google-gemma-3-27b-free
type: website
component: Seo/ModelPage
generated_at: 2026-04-29T22:28:40.012958Z
---

Available now on ModelsLab · Language Model

Google: Gemma 3 27B (free)
Free Multimodal Gemma Power
---

[Try Google: Gemma 3 27B (free)](/models/open_router/google-gemma-3-27b-it-free) [API Documentation](https://docs.modelslab.com)

Run Gemma 3 Free
---

Multimodal Input

### Text Images Combined

Processes text and images via SigLIP encoder for vision-language tasks.

128K Context

### Handles Long Docs

Supports 131k token window for extended conversations and documents.

Zero Cost

### Free API Access

Zero input output token pricing on OpenRouter for Google: Gemma 3 27B (free).

Examples

See what Google: Gemma 3 27B (free) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/google-gemma-3-27b-it-free).

Doc Summary

“Summarize this 50-page technical report on renewable energy trends, highlighting key statistics and future projections.”

Code Reasoning

“Analyze this Python function for bugs and suggest optimizations for better performance on large datasets.”

Image QA

“Describe the architectural elements in this image of a modern skyscraper and explain their structural purpose.”

Multilingual Translate

“Translate this French business email to English while preserving formal tone and technical terms.”

For Developers

A few lines of code.
Gemma 3. Free 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 27B (free)
---

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

### What is Google: Gemma 3 27B (free)?

Google: Gemma 3 27B (free) is an open-weight multimodal LLM from Google DeepMind. It handles text and image inputs with 27B parameters and 128k context. Free via OpenRouter API.

### How to use google gemma 3 27b free API?

Call via OpenRouter OpenAI-compatible endpoint. Supports standard chat completions with vision inputs. Zero token costs apply.

### What context length for Google: Gemma 3 27B (free) model?

131,072 tokens maximum. Handles long documents and conversations effectively. Max output around 8192 tokens.

### Is Google: Gemma 3 27B (free) alternative to paid LLMs?

Yes, matches capabilities in QA, summarization, reasoning. Multimodal like larger proprietary models but fully free.

### Supported languages in Google: Gemma 3 27B (free) LLM?

Over 140 languages with strong multilingual performance. Trained on diverse global data.

### Where deploy google gemma 3 27b free api?

OpenRouter for API, Hugging Face weights for local, or platforms like LM Studio. Enterprise options via AWS, NVIDIA.

Ready to create?
---

Start generating with Google: Gemma 3 27B (free) on ModelsLab.

[Try Google: Gemma 3 27B (free)](/models/open_router/google-gemma-3-27b-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 - 2026-04-30*