Build with
Gemma 3n
Million-token memory, genius-level reasoning, and seamless multimodal intelligence that actually delivers.
Google's Mobile First AI
Gemma 3n is Google's latest family of multimodal AI, supporting text, images, audio, and video processing with automatic speech recognition and visual reasoning capabilities across over 140 languages. The model features a 32K token context window, operates with effective 2B and 4B parameter sizes through Per-Layer Embeddings caching, and supports INT4 and FP16 quantization for mobile deployment. It delivers approximately 1.5x faster performance than Gemma 3 4B while maintaining superior output quality, and runs completely offline on everyday devices like phones and tablets without requiring internet connectivity.
Per-Layer Embeddings (PLE) Caching
Model delivers significant RAM usage reduction by offloading parameters to fast external storage while maintaining performance.
MatFormer Architecture
A nested design where smaller sub-models are embedded within larger models. It allows selective activation of sub-models, enabling dynamic adjustment of computational requirements.
Conditional Parameter Loading
Model skips loading unused parameters (such as those for audio or visual processing) into memory, with the ability to dynamically load them at runtime when needed.
Hands-on with Gemma 3n
Transform your business with Gemma 3n's powerful multimodal AI that processes text, images, audio, and video entirely on-device, delivering instant intelligent insights while ensuring complete privacy and eliminating the need for cloud connectivity.
Healthcare
The model's ability to process text and visual data enables applications for medical image analysis, patient documentation, and clinical decision support while maintaining complete privacy since no data needs to be transmitted to external servers.
Manufacture
Manufacturing companies can deploy Gemma 3n on mobile devices for real-time quality control. Technicians can capture images or videos of equipment, products, or installations and receive immediate AI-powered analysis without requiring internet connectivity.
Customer Support
The model's multimodal abiilities allow customers to submit questions via voice, take photos of products or issues, and receive immediate assistance. This approach reduces support costs, and protects customer privacy by keeping all interactions on-device.
Gemma 3n VS. other AI models?
Google's Gemini 2.5 Pro is the newest multimodal AI advancement. Knowing how it compares to other AI systems will help you choose the right tool for your needs.
Gemma 3n vs Gemini 2.5 Pro
Gemma 3n, an open-weight model from Google, prioritizes efficient on-device, offline multimodal (audio, vision, text) processing with a 32K token context and strong privacy for everyday hardware. In contrast, Google's Gemini 2.5 Pro is a much larger, high-performance "thinking model" designed for complex, cloud-based tasks, boasting a 1 million token context, advanced reasoning, and leading benchmark scores, aiming for maximum quality rather than local efficiency.
Check Gemini 2.5 Pro by Google.
%400.5x.webp)
Gemma 3n vs o4-mini
Gemma 3n is optimized for private, on-device multimodal AI, operating offline with a 32K token context and open weights. OpenAI's o4-mini, while also efficient, is primarily an API-accessed model focused on cost-effective, fast online reasoning for tasks like math and coding, featuring a 128K token context and tool-use capabilities like web browsing.
Check o4-mini by OpenAI.
Gemma 3n vs Grok 3
Gemma 3n is a compact, open-weight model for efficient, offline, on-device multimodal AI with a 32K token context, emphasizing accessibility and privacy. xAI's Grok 3 is a vastly larger, proprietary model designed for supercomputer-scale deployment, focusing on real-time information access (especially from X), complex reasoning with a 128K token context, and cutting-edge performance.
Check Grok 3 by xAI.
Why Choose AI/ML API solution?
AI/ML API provides scalability, faster deployment, and access to 200+ advanced machine learning models without the need for extensive in-house expertise or infrastructure.
Easy To Use
Our API allows seamless integration of powerful AI capabilities into your applications, regardless of your coding experience. Simply swap your API key to begin using the AI/ML API.
Scalable
AI/ML API provides flexibility for business growth since you can scale resources by purchasing more tokens as needed, ensuring optimal performance and cost efficiency
Affordable
We offer flat, predictable pricing, payable by card or cryptocurrency, keeping it the lowest on the market and affordable for everyone.
import os
from openai import OpenAI
client = OpenAI(
base_url="<https://api.aimlapi.com/v1>",
api_key="<YOUR_API_KEY>",
)
response = client.chat.completions.create(
model="google/gemma-3n-e4b-it",
messages=[
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
Getting started with
Gemma 3n API
Visit AI Playground to quickly try API.
For more information about technical features, please refer to the Gemma 3n model card.