Gemma

Gemma

3.0

Gemma is Google DeepMind's family of open AI models built for text, vision, and audio tasks, letting developers run capable AI applications from cloud servers down to laptops and phones.

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Gemmaai-models
Last Updated Nov 10, 2026
Gemma screenshot

About

Gemma is a family of open AI models developed by Google DeepMind. It gives developers, researchers, and organizations a set of pretrained foundation models they can download, fine-tune, and deploy on their own infrastructure, rather than being limited to hosted API services. This matters for teams that need control over their data, want to run models offline, or need AI to work on hardware with limited compute and memory.

The Gemma lineup covers a broad range of sizes and specializations, from compact variants designed for mobile and IoT devices to larger multimodal models aimed at advanced reasoning and agentic workflows. Google DeepMind positions Gemma as its most capable open model family, with members built for general-purpose language and vision work as well as targeted variants for domains such as medicine, translation, and function calling at the edge. The models can be tried in Google AI Studio or accessed through official documentation for local and cloud deployment.

Key Features

Open model family: Gemma models are released openly so developers can download weights, inspect behavior, fine-tune them, and run them wherever their applications need them.
Efficiency for constrained hardware: Google DeepMind highlights strong compute and memory efficiency, with variants designed to run on personal computers, phones, and other edge devices, aided by techniques such as quantization-aware training (QAT) for compression.
Multimodal capability: Recent releases such as Gemma 4 12B are unified, encoder-free multimodal models that process more than text alone.
Advanced reasoning and agentic workflows: Gemma 4 is described as purpose-built for advanced reasoning and for use in agentic applications, with multi-token prediction drafters used to speed up inference.
Specialized variants: The family includes purpose-built models such as MedGemma for medical imaging, TranslateGemma covering 55 languages, FunctionGemma for edge function calling, EmbeddingGemma for embeddings, and VaultGemma, a differentially private language model.
Research transparency tools: Releases like Gemma Scope 2 give the AI safety community resources for studying how complex language models behave internally.
Cloud-to-edge deployment: The models are intended to run across the full spectrum from cloud servers to laptops and phones.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Free access path: Gemma can be tried directly in Google AI Studio, and official documentation covers downloading and running the models.
  • Ongoing release cadence: Google DeepMind ships new Gemma variants and updates on a regular schedule, including Gemma 4, DiffusionGemma, EmbeddingGemma 2, and Gemma 4 QAT.

Who It's For

Gemma is aimed at machine learning engineers and app developers who need open, modifiable models rather than a hosted-only API. It suits startups building AI features on a budget, researchers studying or fine-tuning foundation models, and teams building applications that must run offline or on edge hardware such as laptops and phones. Specialized variants extend its relevance to healthcare developers working with medical imaging and to teams building multilingual translation or function-calling features for resource-constrained devices.

FAQ

What is Gemma?Gemma is Google DeepMind's family of open AI models, covering general-purpose multimodal models and specialized variants for tasks like translation, medical imaging, and embeddings.

Is Gemma free to use?The models can be tried in Google AI Studio at no cost, and Gemma is distributed as an open model family; full licensing and pricing details are available on the official site.

What platforms and integrations does Gemma support?Gemma is designed to run from cloud servers down to laptops and phones, with official documentation covering deployment, and variants like Gemma 4 QAT focused on mobile and laptop efficiency.

How does Gemma compare to Gemini?Gemini is Google's hosted frontier model series, while Gemma is its open model family that developers can download, fine-tune, and run on their own infrastructure.

Are there privacy-focused options?Yes, the family includes VaultGemma, which Google DeepMind describes as a differentially private large language model.