Gemma 3n
Free PlanOpen SourceBest For Teams

Gemma 3n

by Google DeepMind

Efficient AI for on-device applications.

Reviewed June 2026by CBAI Editorial Team
8.0/10

Score

4.0 out of 5 · our score
Compare

Our verdict

Gemma 3n offers a robust, open-source solution for developers seeking efficient, on-device AI capabilities. Its support for multimodal inputs and innovative architecture make it a strong choice for mobile and edge computing applications. However, its open-source nature may require additional resources for scaling in larger enterprise environments.

Overview

Gemma 3n, developed by Google DeepMind, is a generative AI model designed for efficient operation on everyday devices like phones, tablets, and laptops. It supports multimodal inputs, including audio, text, and visual data, enabling a wide range of applications. Key features include Per-Layer Embedding (PLE) caching for reduced memory usage and the MatFormer architecture for flexible compute and memory requirements. The model is available in two sizes: E2B and E4B, with param…

Score breakdown

Overall score

8.0/10
Output quality8.5/10
Ease of use7.5/10
Value for money9.0/10
Features & tools8.0/10
API & integrations7.0/10
Support & docs7.5/10

Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.

Expert review

C

CBAI Editorial Team

Compare Best AI · Editorial Team

## Overview

How we tested

Days tested

7 days

Tasks evaluated

  • ·On-device AI processing
  • ·Multimodal input handling
  • ·Memory optimization techniques

Method

Compared against similar open-source AI models in on-device performance and efficiency

Reviewer

CBAI Editorial Team

Plans & pricing

Most Popular

Free

$0/mo

Individual developers and small teams

  • Access to all features
  • Community support
  • Open-source codebase

Pricing may vary by region. Always verify on the vendor's website.

Feature comparison

FeatureGemma 3nCompetitor1Competitor2
Multimodal Input Support
On-Device Optimization
Open-Source Availability
Per-Layer Embedding Caching
MatFormer Architecture
Included Partial / add-on Not included

Is it right for you?

Good fit for

Individual Developers

Provides a free, open-source solution for building on-device AI applications.

Small Teams

Offers efficient AI capabilities without the need for extensive infrastructure.

Mobile App Developers

Enables the integration of advanced AI features directly into mobile applications.

Less suited for

Large Enterprises

May require additional resources for scaling beyond individual or small team use cases.

Non-Technical Users

Requires technical expertise to implement and fine-tune the model effectively.

User reviews

4.0

Editorial score

5
48%
4
28%
3
6%
2
4%
1
0%

Distribution is estimated from our editorial score. Verified user reviews coming soon.

Integrations

Reported connectors

Apps and services commonly connected out of the box or via official connectors.

  • ["Hugging Face","Google AI Edge","Ollama","MLX"]

Details

Category

Developer

Price

  • Free

Free version

Yes

Best for

  • On-device AI development
  • Mobile AI applications
  • Edge computing solutions

Frequently asked questions

Gemma 3n

Gemma 3n

Developer

Ready to get started?

Visit the Gemma 3n website to explore plans and start your free trial.

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