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.

Fonctionnalités

API sans serveur

Documentation

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.

Sans serveur disponible

Exécutez des requêtes immédiatement, ne payez que pour l’utilisation

Entrée$0.07 / M Tokens

Sortie$0 / M Tokens

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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)