Google has announced Gemma 4, its newest family of open AI models. According to the tech giant, Gemma 4 models are its ‘most intelligent open models to date’ and provide an ‘unprecedented level of intelligence-per-parameter.’
The launch builds on the growing popularity of the Gemma ecosystem. Since the first Gemma models were introduced, developers have downloaded them more than 400 million times, creating over 1,00,000 variations, as per Google.
Here’s everything you need to know about Gemma 4 AI models.
Gemma 4 comes in four different sizes: Effective 2B (E2B), Effective 4B (E4B), 26B Mixture of Experts (MoE) and 31B Dense. These models are designed to work across a wide range of devices, from smartphones and laptop GPUs to powerful AI servers.
One of its key capabilities of Gemma 4 is better reasoning ability. The model can handle complex tasks that require step-by-step thinking. It also performs better in benchmarks related to math problems and instruction-following.
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It also supports agent-style workflows. With built-in features like function calling, structured JSON output, and system instructions, developers can build AI agents that interact with tools, APIs and different services more easily. Gemma 4 can also generate high-quality offline code.
Another key feature is the long context window. Edge models support up to 128K tokens, while larger models can handle up to 256K tokens. Furthermore, Gemma 4 supports over 140 languages, helping developers build AI applications that can work for users globally.
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Developers can start experimenting with Gemma 4 through several platforms. The 31B and 26B MoE models are available in Google AI Studio, while the E4B and E2B models can be accessed through the Google AI Edge Gallery.
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