Qwen3 Embedding 0.6B

by Cloudflare

Parameters
Context Length
8K
Category
embedding
Available Serverless

Run queries immediately, pay only for usage

$0.0118in|$0.00out

Per 1M tokens

Try this modelView documentation

About this model

Capabilities

Providers

One model, several sources. DOS routes to the first that answers and falls back automatically, or you can pin a provider per request.

ProviderInput /1MOutput /1MContextServed from
CloudflareAvailable
$0.0118$0.008KUS

Model Details

Provider
Cloudflare
Model ID
qwen3-embedding-0.6b
Parameters
Context Length
8K tokens
Category
embedding

API Usage

Use the DOS API to integrate Qwen3 Embedding 0.6B into your applications. Our API is compatible with OpenAI's client libraries for easy migration.

Model ID

qwen3-embedding-0.6b

Python

python
from dos import DOS

client = DOS()

response = client.chat.completions.create(
    model="qwen3-embedding-0.6b",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

cURL

bash
curl https://api.dos.ai/v1/chat/completions \
  -H "Authorization: Bearer $DOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-embedding-0.6b",
    "messages": [
      {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Node.js

javascript
import DOS from 'dos-ai';

const client = new DOS();

const response = await client.chat.completions.create({
  model: "qwen3-embedding-0.6b",
  messages: [
    { role: "user", content: "Hello, how are you?" }
  ]
});

console.log(response.choices[0].message.content);