Model Library/Qwen3 Embedding 8B
Qwen3 Embedding 8B

Qwen3 Embedding 8B

qwen/qwen3-embedding-8b
by Qwen
Input price
$0.07/ M tokens
Output price
$0/ M tokens
Context window
32Ktokens
Max output
4Ktokens

Qwen3 Embedding 8B Model is the latest proprietary embedding model from the Qwen family, specifically optimized for text embedding tasks. Built upon the dense foundational architecture of the Qwen3 series, it fully inherits the base model's exceptional multilingual capabilities, long-context comprehension, and advanced reasoning skills. The Qwen3 Embedding series delivers groundbreaking performance across multiple embedding applications, including text retrieval, code search, text classification, document clustering, and bitext mining.

Características

API serverless

Documentación

qwen/qwen3-embedding-8b 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$0.07 / M Tokens
Salida$0 / M Tokens
  1. Obtén tu clave de API

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

  2. 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
    qwen/qwen3-embedding-8b
    API Endpoint
    embeddings
    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.embeddings.create(
    9    model="qwen/qwen3-embedding-8b",
    10    input="The quick brown fox jumped over the lazy dog."
    11)
    12
    13print(response.data[0].embedding)