Name: Gemma 4 26B A4B IT API
Brand: Google

Overview

What Is Gemma 4 26B A4B IT API?

Gemma 4 26B A4B IT is a multimodal model from Google that handles text and image input and generates text output. The model ID is `gemma-4-26b-a4b-it-maas` in Google’s Gemini Enterprise Agent Platform.

Technical Reference

Developer	Google
Model ID	google/gemma-4-26b-a4b-it-maas
Release Date	June 22, 2026
Context Window	262,144 tokens (~262K)
Max Output Tokens	128,000 tokens
Modalities	Image, Text → Text
Capabilities	file input, parallel tool calls, streaming, structured (JSON schema) output, tool/function calling, vision

What Gemma 4 26B A4B IT Brings to the Table

Model identity
Google lists the exact managed model name as Gemma 4 26B A4B IT and the model ID as `gemma-4-26b-a4b-it-maas`.

Modalities
The model supports text input and image input; audio and video are not supported in the listed model card.

Capabilities
Google documents support for function calling and structured output, while thinking is not supported.

Deployment status
The model is marked as Experimental in Google’s platform documentation.

Class of model
It is described as a multimodal instruction-tuned Mixture-of-Experts model.

API Pricing

Input: $0.195 / 1M tokens
Output: $0.78 / 1M tokens
Cached input: $0.195 / 1M tokens

Where Gemma 4 26B A4B IT Makes the Most Sense

Multimodal assistants
Google and NVIDIA describe it as suitable for text-and-image assistant workflows.

Structured application outputs
The documented structured output support makes it suitable for applications that need controlled, machine-readable responses.

Tool-enabled workflows
Google documents function calling support, which fits agentic and tool-using integrations.

Document and image understanding
The model is presented as useful for image-based and multimodal understanding tasks.

Gemma 4 26B A4B IT vs the Alternatives

Gemma 4 26B A4B
Google’s model page identifies the same family without the IT suffix as a related option in the platform catalog.

Sources: https://lmstudio.ai/models/google/gemma-4-26b-a4b · https://www.reddit.com/r/LocalLLaMA/comments/1sihwo8/gemma_4_26b_a4b_is_still_fully_capable_at/ · https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/google/gemma-4-26b-a4b-it

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Gemma 4 26B A4B IT is documented as suited for advanced reasoning in IDEs, coding assistants, and agentic workflows.

It is also documented for multimodal assistants and document and image understanding workflows.

The model is documented for video understanding workflows as well.

It is also documented for multilingual conversational applications.

How to use Gemma 4 26B A4B IT API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/gemma-4-26b-a4b-it-maas.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "google/gemma-4-26b-a4b-it-maas",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "google/gemma-4-26b-a4b-it-maas",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemma-4-26b-a4b-it-maas","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.