Gemma 4 26B A4B

google/gemma-4-26b-a4b-it

by Google

Input price: $0.13/ M tokens
Output price: $0.4/ M tokens
Context window: 256Ktokens
Max output: 128Ktokens

Gemma 4 26B A4B is built for developers who need scalable performance without sacrificing core capabilities.Crucially, it retains the massive 256K-token context window of the 31B model, making it highly competitive for long-context RAG and processing extensive, image-rich document datasets. It fully supports the series' core innovations: native Thinking mode for advanced logic, Interleaved Multimodal Input for dynamic text-image workflows, and flawless document/UI parsing. Equipped with native Function Calling and robust coding proficiencies, the 26B A4B is the ideal, cost-effective engine for powering real-world agentic workflows, visual automation, and global applications across its 140+ pre-trained languages.

Características

API serverless

Documentación

google/gemma-4-26b-a4b-it is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Serverless disponible

Ejecuta consultas de inmediato, paga solo por el uso

Entrada$0.13 / M Tokens

Salida$0.4 / M Tokens

Obtén tu clave de API
Regístrate y crea una clave para ejecutar el código de abajo. La API es compatible con OpenAI.
Iniciar sesión Obtén tu clave de API

Make your first request

The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

Base URL: https://api.novita.ai/openai
Model ID: google/gemma-4-26b-a4b-it
API Endpoint: chat/completions

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="google/gemma-4-26b-a4b-it",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)