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Google DeepMind@GoogleDeepMind · Apr 2, 2026

Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic…

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Summary

Google releases Gemma 4, a new family of open-source models in four sizes (31B dense, 26B MoE, E4B, E2B) under Apache 2.0 license, designed for advanced reasoning, agentic workflows, and local deployment on custom hardware with up to 256K context window. The models support tool use, multi-step task execution, and mobile deployment with vision and audio capabilities.

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  1. #1

    Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵

  2. #2

    Available in four sizes: 🔵 31B Dense & 26B MoE: state-of-the-art performance for advanced local reasoning tasks – like custom coding assistants or analyzing scientific datasets. 🔵 E4B & E2B (Edge): built for mobile with real-time text, vision, and audio processing.

  3. #3

    Build autonomous agents that plan, navigate apps, and execute multi-step tasks – like searching databases or triggering APIs – with native tool use. With up to 256K context, it can analyze full codebases and retain complex action histories without losing focus.

  4. #4

    Start building with Gemma 4 now in @GoogleAIStudio. You can also download the model weights from @HuggingFace, @Kaggle, or @Ollama. Find out more → goo.gle/41IC3lY