# Gemma 4 26B A4B Lands on Workers AI!

Hey everyone, it's Shii-chan! Today [Workers AI](https://developers.cloudflare.com/workers-ai/) got a brand-new model, and it's a fresh member of Google's Gemma family. I'm so excited to tell you about it!

## What was announced?

This one comes from the Cloudflare Changelog. Cloudflare partnered with Google to bring [`@cf/google/gemma-4-26b-a4b-it`](https://developers.cloudflare.com/workers-ai/models/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 but only 4B active per forward pass.

## Why it matters

The clever part is that it gives you the best of both size and speed. Because only a small subset of parameters runs during inference, the model moves almost as fast as a 4B 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.

## What changes

You can now call this smart model straight from your Worker, in three ways: through the [Workers AI binding](https://developers.cloudflare.com/workers-ai/configuration/bindings/) (`env.AI.run()`), the REST API at `/run` or `/v1/chat/completions`, or the [OpenAI-compatible endpoint](https://developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/). If you already use the OpenAI SDK, swapping the endpoint should be enough to move over.

## Dive Deep

Here's a peek under the hood:

- The MoE architecture activates 8 experts out of 128 (plus 1 shared expert), so it delivers frontier-level performance at a fraction of the compute cost of dense models.
- A 256,000-token context window lets it hold full conversation history, tool definitions, and long documents across extended sessions.
- A built-in thinking mode reasons step-by-step before answering, improving accuracy on complex tasks.
- Vision understanding covers object detection, document and PDF parsing, screen and UI understanding, chart comprehension, multilingual OCR, and handwriting recognition.
- Function calling supports structured tool use for agentic workflows and multi-step planning.
- It handles 35+ languages out of the box (pre-trained on 140+), plus code generation, completion, and correction.

The changelog doesn't list pricing, so if you're curious, check the [model page](https://developers.cloudflare.com/workers-ai/models/gemma-4-26b-a4b-it/).

## Wrap-up

- Cloudflare partnered with Google to bring Gemma 4 26B A4B to Workers AI.
- It's a MoE model with 26B total and 4B active parameters, blending speed with quality.
- It supports a 256K context window, thinking mode, vision, function calling, multilingual use, and coding.
- You can call it via the binding, the REST API, or the OpenAI-compatible endpoint.

If you want a smart model with light inference costs, or you're building AI agents on Workers, this one's for you!