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Available now on ModelsLab · Language Model

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

Try Google: Gemma 3 27B (free)API Documentation

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.

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 
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 3 27B (free)

Read the docs

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.

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

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

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

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

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)API Documentation