Qwen3 Embedding 8B · aihubmix

Name: Qwen3 Embedding 8B
Brand: Qwen
Price: 0.068 USD
Availability: InStock

The Qwen3 Embedding model series is the latest proprietary model family from Qwen, specifically designed for text embedding and ranking tasks. Based on the dense base models of the Qwen3 series, it offers comprehensive text embedding and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the excellent multilingual capabilities, long-text understanding, and reasoning skills of its base models. The Qwen3 Embedding series demonstrates significant advancements in various text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bilingual text mining.

Базовая модель Все модели этой базовой Все модели провайдера к провайдеру

Вход, $/1M $0.068

Выход, $/1M —

Контекст —

Принимает текст

Последняя проверка 04.11.2026 12:00:14 UTC

Источник страница провайдера

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API

API, совместимый с OpenAI: подходят официальные SDK OpenAI с этим адресом. YOUR_API_KEY замените на свой ключ от провайдера.

Адрес API	`https://aihubmix.com/api/v1`
Эндпоинт	`https://aihubmix.com/api/v1/embeddings`
Модель (id в API)	`qwen3-embedding-8b`

curl

curl https://aihubmix.com/api/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-embedding-8b", "input": ["first text", "second text"]}'

Python

import requests

r = requests.post(
    "https://aihubmix.com/api/v1/embeddings",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "qwen3-embedding-8b",
      "input": [
        "first text",
        "second text"
      ]
    },
)
print(r.json())

JavaScript

const r = await fetch("https://aihubmix.com/api/v1/embeddings", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "qwen3-embedding-8b",
    "input": [
      "first text",
      "second text"
    ]
  }),
});
console.log(await r.json());

Запрос (JSON)

{
  "model": "qwen3-embedding-8b",
  "input": [
    "first text",
    "second text"
  ]
}

Ответ (JSON)

{
  "object": "list",
  "model": "qwen3-embedding-8b",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0.0123,
        -0.0456,
        "..."
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 6,
    "total_tokens": 6
  }
}

Адрес взят из списка моделей провайдера - сверьте с его документацией.

Документация API провайдера

Source: AI Rate Card, https://airatecard.com/ru/c/offer%3Aaihubmix%7Cqwen3-embedding-8b, prices checked 2026-11-04; seller's page: https://aihubmix.com

Технические данные

ID: offer:aihubmix|qwen3-embedding-8b