Long context
A documented 256,000-token context window supports long conversations, large documents, tool definitions, and extended workflows.
Google Gemma 4 26B A4B is an open model available through Cloudflare Workers AI. Imperial CyberX uses the model identifier @cf/google/gemma-4-26b-a4b-it in its AI CyberCafe backend.
Gemma 4 26B A4B is a Google model with a Mixture-of-Experts architecture. Cloudflare documents 26 billion total parameters with approximately 4 billion active per forward pass, providing a model architecture designed around efficient inference.
Through Workers AI, the model can be used for text generation and structured application workflows, with documented support for long context, vision, reasoning, batch processing, and function calling.
A documented 256,000-token context window supports long conversations, large documents, tool definitions, and extended workflows.
Gemma 4 26B A4B supports vision workloads including document, PDF, image, screen, chart, OCR, and handwriting understanding.
The model supports reasoning workflows and built-in thinking capabilities for tasks that require additional inference depth.
Native function calling supports structured interactions between the model and controlled application tools.
Define trusted instructions, untrusted inputs, and application-level controls around model requests.
Review sensitive data paths through prompts, context, retrieval systems, logs, and outputs.
Constrain model-initiated tool use with explicit authorization, validation, and execution boundaries.
Treat the model as one component of a larger application security architecture rather than a standalone control.
Model selection is one layer of an AI system. Security also depends on prompts, data flows, permissions, integrations, application controls, and the surrounding workflow.