Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on @arena — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in @GoogleAIStudio or download the weights on @HuggingFace, @Kaggle, and @Ollama.
Google Launches Gemma 4 to Bring Frontier Reasoning to Local Devices
· Updated
Google launched Gemma 4, a family of open models built on Gemini 3 technology. The release includes
31B dense and 26B MoE variants with a 256K context window and native function calling. New E2B and E4B edge models also provide native vision and audio processing for mobile devices.This release adopts the permissive Apache 2.0 license, offering the digital sovereignty needed for commercial use. By maximizing intelligence-per-parameter, these models match the performance of systems twenty times their size. This allows you to move complex reasoning and multimodal tasks from the cloud to private, local infrastructure.
You can build local-first code assistants, autonomous agents, or global applications in 140 languages. Weights are available on Hugging Face, Kaggle, and Ollama. Since they run offline, these models are ideal for high-security environments or locations without a reliable internet connection, providing frontier intelligence without data center access.
Google AI
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