Qwen3 Embedding 8B

Embeddings

qwen3-embedding-8b

Qwen|Created Feb 5, 2026

Embeddings

The Qwen3 Embedding model series is the newest proprietary addition to the Qwen family, purpose-built for text embedding and ranking applications. Leveraging the strong multilingual abilities, long-context comprehension, and reasoning prowess of its base model, Qwen3 Embedding delivers impressive progress across various embedding and ranking tasks. These include text retrieval, code search, text classification, clustering, and bitext mining.

Overview Specifications Activity Performance Uptime Examples

Pricing-50%

Pay-as-you-go rates for this model. More details can be found here.

Tokens (1M)

$0.005

Capabilities

Input Modalities

Text

Output Modalities

Embeddings

Supported Parameters

Available parameters for API requests

Dimensions

Usage Analytics

Token usage of this model on our platform

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")

resp = client.embeddings.create(
    model="qwen3-embedding-8b",
    input=[
        "The food was delicious!",
        "Service could be faster."
    ],
)
print(resp)