Gemma 4 Model Overview: Features, Architecture & Use Cases

Gemma 4, developed by Google DeepMind and released in April 2026, is a versatile family of open-weight models designed for diverse deployment contexts, ranging from edge-optimized variants for mobile devices to a 31 billion dense model for server-side tasks. These models, available under the Apache 2.0 license, support multimodal input, built-in reasoning, and an extensive context window of up to 256K tokens, with the 26B A4B Mixture-of-Experts variant and the 31B dense model accessible on DeepInfra. All models use a hybrid attention mechanism and are equipped with a reasoning engine that processes input step-by-step before generating responses, supporting over 140 languages and compatible with various fine-tuning frameworks. The 26B A4B model achieves near-flagship benchmark performance at inference speeds similar to a 4B dense model and is offered at competitive pricing on DeepInfra. This new generation of models represents a significant advancement in reasoning, multimodal capabilities, and context handling, making it suitable for most production workloads.