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Reviewed by Shawn H. — Founder, AITrustList

Last verified MethodologyAI tools are ranked by traffic signals, not paid placement.

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Gemma

Lightweight open models for building responsible AI apps

Small/Edge ModelsMultimodal LLMInstruct/Chat ModelFreeOpen Source
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Gemma is a collection of lightweight, open models built from the same technology that powers our Gemini models.

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Gemma alternatives
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Pros & cons

Independently written by the AITrustList editorial team.

Pros

  • Open weights free to download from Hugging Face and Kaggle
  • Sizes from 1B to 27B parameters available
  • Gemma 3 supports 128K token context window
  • Runs on consumer GPUs; 2B fits on phones
  • Gemma 3 supports 140+ languages out of the box

Cons

  • No hosted API; requires self-hosting or Vertex AI
  • Gemma license includes use-based restrictions
  • Smaller variants underperform on coding/math benchmarks
  • Vision input limited to 4B, 12B, 27B sizes
  • No built-in image generation capability
Gemma Overview

What is Gemma?

A family of lightweight, open-source AI models from Google DeepMind, derived from the same technology as Gemini.

How to use Gemma?

Use Google AI Studio to experiment, download models from Hugging Face, and integrate via supported frameworks like Keras, PyTorch, or JAX. Fine-tune for custom tasks using tools like Unsloth.

Core features of Gemma

  • Lightweight and efficient architecture
  • Optimized for mobile and IoT devices
  • Frontier-level intelligence on personal computers
  • Multiple model sizes (E2B, E4B, 26B, 31B)
  • Integration with major ML frameworks
  • Variants for specific tasks (MedGemma, TranslateGemma, etc.)

Target audience of Gemma

Developers

Use cases of Gemma

  • #1Build AI-powered mobile apps
  • #2Deploy large language models on edge devices
  • #3Develop healthcare AI with MedGemma
  • #4Create translation tools with TranslateGemma
  • #5Fine-tune models for custom domains

Gemma Details

Gemma is a family of lightweight, open-source AI models from Google DeepMind, built using the same technology as Gemini. These models are designed to run efficiently on a range of devices from cloud servers to laptops and mobile phones. The latest Gemma 4 offers variants optimized for maximum compute and memory efficiency (E2B, E4B) for mobile and IoT, as well as 26B and 31B parameter models for advanced reasoning on personal computers. Gemma also includes specialized variants like MedGemma for healthcare, TranslateGemma for multilingual translation, and ShieldGemma for safety. Developers can access Gemma through Google AI Studio, download from Hugging Face, and integrate using popular frameworks such as Keras, PyTorch, JAX, and Ollama.

Gemma Pricing

Pricing model
Free

Gemma Website Traffic Analysis

Visit Over Time

Gemma had 6.7M monthly visits in the latest recorded month. It is currently tracked in the Small/Edge Models category on AITrustList.

Monthly Visits6.7M
Avg. Visit Duration02:02
Page per Visit2.44
Bounce Rate55.44%
Sep 2025 - Aug 2026 All Traffic

Geography

Top 5 Regions

📍United States
15.00%
📍India
11.46%
📍Russia
6.62%
📍China
6.00%
📍Korea, Republic of
3.84%
Sep 2025 - Aug 2026 Desktop Only

Traffic Sources

Organic Search
37.93%
Direct
31.49%
Referrals
14.25%
GenAI
11.01%
Organic Social
2.66%
Paid Search
1.72%
Mail
0.46%
Display Ads
0.28%
Paid Social
0.19%
Affiliate
0.00%
Sep 2025 - Aug 2026 Worldwide Desktop Only

AI Referral Traffic

Google Gemini
55.4%
ChatGPT
13.9%
Perplexity AI
3.0%
Sep 2025 - Aug 2026 AI Engine Share Trends

Top Keywords

KeywordTrafficCost Per Click
gemini120.3M$ 0.30
google ai studio5.3M$ 0.57
gemini api529.4K$ 1.42
gemini ai17.2M$ 0.25
google gemini8.7M$ 0.27

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