Gemma 4 26B-A4B API

About Gemma 4 26B-A4B

Gemma 4 26B A4B is a Google open multimodal model with 256K context, text, image, and video input, tools, and structured output.

Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort or thinking_budget for bounded thinking, or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported.

Also known as Google Gemma 4 26B-A4B, Gemma-4-26B-A4B

Gemma 4 26B-A4B specs

Model ID

gemma-4-26b-a4b

Provider

Google

Category

Text Generation

Released

Mar 31, 2026

Context window

256K tokens

Max output

32,768 tokens

Input

TextImageVideo

Output

Text

Endpoints

POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1/completions

Gemma 4 26B-A4B API pricingSave up to 83%

Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.

How to call the Gemma 4 26B-A4B API

Gemma 4 26B-A4B serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id gemma-4-26b-a4b. Get an API key from the EmpirioLabs dashboard.

curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemma-4-26b-a4b",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.empiriolabs.ai/v1",
    api_key="YOUR_EMPIRIOLABS_API_KEY",
)

response = client.chat.completions.create(
    model="gemma-4-26b-a4b",
    messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)

Gemma 4 26B-A4B API parameters

Request parameters supported by the Gemma 4 26B-A4B API on EmpirioLabs. Defaults apply when a field is omitted.

Good to know

Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort or thinking_budget for bounded thinking, or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported.

Gemma 4 26B-A4B API: common questions

How much does the Gemma 4 26B-A4B API cost?

On EmpirioLabs, Gemma 4 26B-A4B is billed pay as you go: Input $0.05 (was $0.15) per 1M prompt tokens; Output $0.29 (was $0.50) per 1M generated tokens; Implicit cache read $0.025 (was $0.15) per 1M cached input tokens. The live rate card on this page always matches what the API charges.

What is the context window of Gemma 4 26B-A4B?

Gemma 4 26B-A4B supports a 256K-token context window with up to 32,768 output tokens per response.

Is the Gemma 4 26B-A4B API OpenAI-compatible?

Yes. Gemma 4 26B-A4B serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to gemma-4-26b-a4b.

Can I try Gemma 4 26B-A4B in the browser before integrating?

Yes. The EmpirioLabs playground runs Gemma 4 26B-A4B in the browser with the same parameters the API exposes, so you can test prompts before writing code.

How do I get a Gemma 4 26B-A4B API key?

Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.