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Qwen: Qwen3 Embedding 8B: AI model

Qwen3 Embedding 8B is a Qwen text-embedding model for retrieval, ranking and semantic search, with a 32K-token context. Reachable from inside Iran through Hormouz.

Context window:
32,768 tokens
Input:
$0.01/1M tokens
Output:
$0/1M tokens
Type:
embedding
  • Embeddings

Qwen3 Embedding 8B is a Qwen text-embedding model designed for text-embedding and ranking tasks such as retrieval, classification, clustering and code search. It inherits the multilingual and long-text understanding of the Qwen family and produces dense vector representations of text.

The model handles up to 32K tokens of input per request. Through Hormouz it is served behind an OpenAI-compatible embeddings API. Point your base URL at Hormouz and drop in a Hormouz key. Pricing is usage-based at $0.01 per million input tokens.

Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text...

Quickstart

curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-embedding-8b","input":"The quick brown fox"}'

Specs

VendorQwen
TypeEmbedding
Context window32,768 tokens
Pricing$0.01/M in · $0.00/M out
APIembeddings

Sizes in this family

SizeContext windowPricing
4B32,768$0.02/M in · $0.00/M out
8B32,768$0.01/M in · $0.00/M out

Code example

cURL
curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-embedding-8b","input":"The quick brown fox"}'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
resp = client.embeddings.create(model="qwen/qwen3-embedding-8b", input="The quick brown fox")
print(resp.data[0].embedding)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const resp = await client.embeddings.create({
  model: "qwen/qwen3-embedding-8b",
  input: "The quick brown fox",
});
console.log(resp.data[0].embedding);

Buy the Qwen: Qwen3 Embedding 8B API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Qwen: Qwen3 Embedding 8B and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

What is Qwen3 Embedding 8B and what is it good for?
Qwen3 Embedding 8B is a Qwen text-embedding model. It turns text into embedding vectors for search, ranking and classification tasks.
What is the context window of Qwen3 Embedding 8B?
The model supports up to 32K tokens of context per input.
How much does Qwen3 Embedding 8B cost?
Pricing is usage-based at $0.01 per million input tokens. There is no fixed monthly fee. You pay only for what you use.
How do I access Qwen3 Embedding 8B from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card required.
Is Qwen3 Embedding 8B compatible with OpenAI embeddings code?
Yes. Hormouz exposes an OpenAI-compatible embeddings API. Point the base URL at Hormouz and swap in your Hormouz key.

Updated 2026-10-13