We are partnering with Google to bring @cf/google/gemma-4-26b-a4b-it to Workers AI. Gemma 4 26B A4B is a Mixture-of-Experts (MoE) model built from Gemini 3 research, with 26B total parameters and only 4B active per forward pass. By activating a small subset of parameters during inference, the model runs almost as fast as a 4B-parameter model while delivering the quality of a much larger one. Gemma 4 is Google's most capable family of open models, designed to maximize intelligence-per-parameter. Key capabilities
Mixture-of-Experts architecture with 8 active experts out of 128 total (plus 1 shared expert), delivering frontier-level performance at a fraction of the compute cost of dense models 256,000 token context window for retaining full conversation history, tool definitions, and long documents across extended sessions Built-in thinking mode that lets the model reason step-by-step before answering, improving accuracy on complex tasks Vision understanding for object detection, document and PDF parsing, screen and UI understanding, chart comprehension, OCR (including multilingual), and handwriting recognition, with support for variable aspect ratios and resolutions Function calling with native support for structured tool use, enabling agentic workflows and multi-step planning Multilingual with out-of-the-box support for 35+ languages, pre-trained on 140+ languages Coding for code generation, completion, and correction
Use Gemma 4 26B A4B through the Workers AI binding (env.AI.run()), the REST API at /run or /v1/chat/completions, or the OpenAI-compatible endpoint. For more information, refer to the Gemma 4 26B A4B model page.
Fetched April 4, 2026