Google: Gemma 3 27B
Multimodal Reasoning Power
Deploy Gemma 3 27B Now
Vision-Language
Process Images Text
Handles 896x896 images with Pan&Scan for detailed visual reasoning in Google: Gemma 3 27B API.
128K Context
Long-Document Analysis
Supports 128K tokens for complex reasoning and summarization using Google: Gemma 3 27B model.
140+ Languages
Global Multilingual
Out-of-box support for 35+ languages, pretrained on 140+ via Google gemma 3 27b.
Examples
See what Google: Gemma 3 27B can create
Copy any prompt below and try it yourself in the playground.
Code Review
“Analyze this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”
Document Summary
“Summarize key points from this 10-page research paper on quantum computing advancements, focusing on practical applications.”
Visual Q&A
“Describe the objects, scene layout, and mood in this image of a modern city skyline at dusk, then suggest a caption.”
Multilingual Translation
“Translate this technical spec from English to Japanese, then explain quantum entanglement in simple terms: [insert spec text].”
For Developers
A few lines of code.
27B Power. Single 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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Google: Gemma 3 27B on ModelsLab.