Gemma 4 26B A4B
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model developed by Google DeepMind. It features 25.2 billion total parameters, with only 3.8 billion activating per token during inference, enabling high-quality outputs at reduced computational cost. The model supports multimodal inputs, including text, images, and video, and offers a 256K token context window, native function calling, configurable reasoning modes, and structured output capabilities. It is released under the Apache 2.0 license.
What is Gemma 4 26B A4B ?
Gemma 4 26B A4B is an AI model from Google that Agent Mag tracks for pricing, context window, modalities, benchmarks, and API compatibility. Builders can use this page to compare Gemma 4 26B A4B against other models for agent workflows and production deployments.
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model developed by Google DeepMind. It features 25.2 billion total parameters, with only 3.8 billion activating per token during inference, enabling high-quality outputs at reduced computational cost. The model supports multimodal inputs, including text, images, and video, and offers a 256K token context window, native function calling, configurable reasoning modes, and structured output capabilities. It is released under the Apache 2.0 license.