Google unveiled Gemma 4 on 3rd April 2026. This new family of open artificial intelligence models operates on an entire spectrum of hardware from basic smartphones to extensive data centres. Under an open-source distribution policy, such models may be used or altered for commercial purposes without charge, courtesy of the Apache 2.0 License.
Key Takeaways:
- Gemma 4 comes in four sizes including 2 billion and 31 billion parameter versions.
- The models use the same research found in Gemini 3, the flagship AI from Google.
- Smaller versions run offline on mobile devices and Raspberry Pi boards.
- It supports more than 140 languages for developers across the world.
- Users can download the model weights from platforms like Hugging Face and Kaggle.
Gemini 4 is from Google DeepMind, the company’s artificially intelligent research division. The team created these models to perform complex reasoning and multiple step activities. Google has opted to use a permissive license, allowing businesses and individual creators to construct their own tools without incurring large financial costs.
Technological Features and Hardware.
These models can run at 2B, 4B, 26B, and 31B parameter sizes. The 2B and 4B versions are designed for edge computing. This means they can run on hardware such as a Raspberry Pi, a cheap mini computer, or the NVIDIA Jetson Orin Nano. These smaller models can save battery and memory as they do not require an internet connection to function.
Google created the same technology that built Gemini 3 for the construction of Gemma 4. Gemini 3 is the most recent Google AI that can process text, images, and audio concurrently. Due to this, Gemma 4 has improved performance on tasks such as coding and action planning when compared to predecessors.
Assistance for Worldwide Developers.
Gemma 4 can be used for local applications by developers in India. It enhances the ability to build applications that comprehend local nuances and context. This is because it supports over 140 languages. Additionally, developers can use these models on Android through the AICore preview. Google stated that applications developed using Gemma 4 will be compatible with future mobile devices containing Gemini Nano 4 hardware.
Accessing the Models
You can begin using Gemma 4 via several different channels. Google AI Studio has the largest versions. If you want to experiment with models locally, the Google AI Edge Gallery app allows for testing on Android and iOS devices.
Model weights are also available to developers on Kaggle and Hugging Face. The models are already supported by popular tools Ollama and NVIDIA NIM. This means AI can be run on regular graphics cards in Windows, Linux, or macOS computers. Models = Raspberry Pi 5 = School projects and robotics = Students and researchers in India.
Market Competition
Other companies are publishing open models at the same time as Google’s rapid progress. There are Llama series from Meta and models of good performance in Llama series from Meta and models of good performance in technical benchmarks from DeepSeek. As more developers seek alternatives to proprietary systems, the open AI market is expanding.
FAQs
Q1: What is the price of Gemma 4?
A1: Gemma 4 is free to download and use for both personal and commercial projects under the Apache 2.0 license.
Q2: Does Gemma 4 need an internet connection?
A2: No, the smaller versions of Gemma 4 can run completely offline on compatible smartphones and small computers.
Q3: What languages does it support?
A3: The model supports more than 140 languages, making it useful for global software development.
Q4: Where can I find the model files?
A4: The weights are available on Hugging Face, Kaggle, and through the Google AI Studio platform.
Q5: Can I use it on a Mac computer?
A5: Yes, Gemma 4 works on macOS, as well as Windows and Linux, using tools like Ollama or LM Studio.
