Gemma 4

**Google DeepMind** released **Gemma 4**, a family of open-weight, multimodal models with long-context support up to **256K tokens** under an **Apache 2.0 license**, marking a major capability and licensing shift. The lineup includes **31B dense**, **26B MoE (A4B)**, and two edge models (**E4B**, **E2B**) optimized for local and edge deployment with native multimodal support (text, vision, audio). Early benchmarks show **Gemma-4-31B** ranking #3 among open models and strong scientific reasoning performance with **85.7% GPQA Diamond**. Day-0 ecosystem support includes **llama.cpp**, **Ollama**, **vLLM**, and **LM Studio**, with notable local inference performance on hardware like **M2 Ultra** and **RTX 4090**. The architecture features hybrid attention and MoE layering, diverging from standard transformers. Community and developer engagement is high, with rapid adoption and tooling integration.