Gemma 4: A Practical Guide for Developers

Google DeepMind released Gemma 4 on April 2, 2026. It is their most capable open model family to date, built from the same research behind Gemini 3, and shipped under the Apache 2.0 license. That means no usage caps, no restrictive policies, and full commercial freedom. This article breaks down what Gemma 4 is, what it can do, and how to actually run it in your projects. No fluff. Just the parts that matter if you are building something. What is Gemma 4 Gemma 4 is a family of open-weight multimodal models designed for reasoning, code generation, and agentic workflows. It comes in four sizes: Model Parameters Context Window Best For E2B 2.3B effective (5.1B total) 128K tokens Phones, Raspberry Pi, IoT E4B 4.5B effective (8B total) 128K tokens Edge devices, fast inference 26B A4B (MoE) 26B total, 4B active 256K tokens Low-latency server inference 31B (Dense) 31B 256K tokens Maximum quality, fine-tuning base Each size comes in both a base variant and an instruction-tuned (IT) variant. For