Qwen3 Embedding 4B
by DOS.AI
Self-hosted multilingual text embedding (2560 dims), strong on Vietnamese. Priced at our OpenRouter fallback cost.
Parameters
Context Length
33K
Category
embedding
Available Serverless
Run queries immediately, pay only for usage
$0.02in|$0.000out
Per 1M Tokens
About this model
Self-hosted multilingual text embedding (2560 dims), strong on Vietnamese. Priced at our OpenRouter fallback cost.
Capabilities
Model Details
- Provider
- DOS.AI
- Model ID
- qwen3-embedding-4b
- Parameters
- Context Length
- 33K tokens
- Category
- embedding
API Usage
Use the DOS API to integrate Qwen3 Embedding 4Binto your applications. Our API is compatible with OpenAI's client libraries for easy migration.
Model ID
qwen3-embedding-4bPython
python
from dos import DOS
client = DOS()
response = client.chat.completions.create(
model="qwen3-embedding-4b",
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-4b",
"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-4b",
messages: [
{ role: "user", content: "Hello, how are you?" }
]
});
console.log(response.choices[0].message.content);