Happy Horse 1.0 is now on ModelsLab

Try Now
Skip to main content
Available now on ModelsLab · Language Model

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

Try Google: Gemma 3 4B (free)API Documentation

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.

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 
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 4B (free)

Read the docs

Google: Gemma 3 4B (free) is a lightweight open LLM from Google with 4B parameters. It supports text generation, reasoning, and multimodal inputs. Runs on single GPUs or edge devices.

Use ModelsLab endpoint for Google: Gemma 3 4B (free) API calls. Send JSON payloads with prompts via HTTP POST. Free tier available for testing.

Yes, it processes text and images for tasks like analysis. Outputs text summaries or reasoning. Context window reaches 128K tokens.

Serves as free alternative to larger cloud LLMs like GPT-4o-mini. Outperforms in some local benchmarks on modest hardware. Ideal for privacy-focused apps.

Yes, includes function calling for agentic workflows. Use structured outputs in prompts. Optimized for TPUs and GPUs.

Download weights from Hugging Face for local runs. API provides hosted access without setup. Quantized versions speed inference.

Ready to create?

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

Try Google: Gemma 3 4B (free)API Documentation