Gemma 4 26B A4B is a Mixture-of-Experts model from Google's DeepMind team that brings advanced reasoning capabilities to a wide range of deployment scenarios. With 26 billion total parameters and roughly 4 billion active parameters per forward pass, the architecture enables powerful capabilities while managing computational demands. The model is designed as a highly capable reasoner with configurable thinking modes, supports native vision for processing images with variable aspect ratios and resolutions, and handles function-calling and structured JSON output—making it well-suited for complex tasks like text generation, coding, and multi-step reasoning in professional and developer workflows.
The Gemma 4 family builds on Gemini 3 research, and this particular variant carries forward that lineage into an open-weight format accessible to developers and researchers. Multilingual support spans over 140 languages, and the extensive context window of around 262K tokens enables long-form document understanding and complex multi-turn conversations. By offering open-weights models in instruction-tuned variants alongside dense and MoE architectures across multiple sizes, Google DeepMind has designed the family for scalability—from high-end mobile devices to server deployments. This accessibility, combined with the model's strength in structured outputs and tool use, positions it for both exploratory research and production applications where control over model behavior matters.
