Google just released the latest version of its open AI model, Gemma 4, on Thursday. Crucially, Gemma 4 is a fully open-source model licensed under Apache 2.0, which is typically not the case with frontier models.

Open models can be run locally on users’ devices, and Google says Gemma 4 can be run on “billions of Android devices” and some laptop GPUs.

“This open-source license provides a foundation for complete developer flexibility and digital sovereignty; granting you complete control over your data, infrastructure, and models,” a Google blog post reads. “It allows you to build freely and deploy securely across any environment, whether on-premises or in the cloud.”

Most people have likely heard of Google’s popular Gemini AI model, thanks to the ubiquitous AI chatbot that’s been integrated into many of Google’s products.

Gemma is also a large language model (LLM) and was developed from the exact same technology and research that Google DeepMind used to build Gemini 3.

Google is calling Gemma 4 its “most capable” open AI model yet.

Gemma vs. Gemini?

So, how is Gemma different from Gemini?

Gemini is Google’s proprietary subscription AI product, and the name of Google’s family of multimodal AI models. Gemini has been integrated into virtually all of Google’s core products, including Google Search, Gmail, Google Docs, and Google Cloud.

Gemma 4, however, is an open AI model, meaning that the code and data that it’s trained on are shared with its user base. Gemma AI models can be run off of a user’s local hardware, even without an internet connection. Anyone can download Gemma 4 and run it off their device for free. These open AI models provide a more private and secure experience, as none of the chats, uploaded files, or answers are shared with a third party.

Developers could use open AI models like Gemma 4 in order to integrate AI into their own applications without the need for any recurring subscription costs.

What is Gemma 4?

Gemma 4 brings some advanced capabilities to Google’s open AI model family.

According to Google’s announcement, Gemma 4 is now capable of advanced reasoning, which includes multi-step planning and deep logic. Google says it has made “significant improvements in math and instruction-following benchmarks that require it” with Gemma 4.

Gemma 4 now also supports processes that are required for agentic workflows and localizes AI coding assistance. In addition, Gemma 4 can process audio and video for speech recognition and interpreting visuals such as charts. 

Gemma 4 is available in four sizes based on the number of weights used to power the model: two billion, four billion, 26 billion, and 31 billion.

Hugging Face reports that these open-weight models are available in pre-trained and instruction-tuned variants, offering even more flexibility for developers.

The AI model has been trained on more than 140 languages and has a context window up to 256,000 tokens, according to Google. (The smaller E2B and E4B variants have a context window of 128,000, however.)

Gemma 4 is now open and open source

Now, open doesn’t mean open source when it comes to AI models.

Previous iterations of Gemma were open-weight (meaning the training datasets are publicly available) but were still bound by Google’s terms, even if users were allowed to download the model onto their device. While users could modify the local LLM, they still had to operate under Google’s rules on its use and redistribution.

With Gemma 4, Google has now made the model open and open source.

Google is distributing Gemma 4 under the popular open source software license Apache 2.0.

Under this license, anyone can download and modify Gemma 4 and use it for any purpose, whether for personal or commercial use cases. Gemma 4 can be redistributed without any royalty requirements as well. Basically, the only requirement under the Apache 2.0 license is attribution, and the license must be distributed alongside the AI model.

Looking for Gemma 4? Hot to try it.

Gemma 4 can be found in Google AI studio and can be downloaded from third-parties such as  Hugging Face, Kaggle, or Ollama.