All models
Qwen
Qwen3 Embedding 8B
A multilingual text embedding model for search and retrieval, including code, and for classification and clustering.
- Context window
- 32K tokens
- Accepts
- Text
- Returns
- Embedding vectors
- Input per 1M tokens
- $0.02
Send your first request
Set LYCEUM_API_KEY to your API key, then run this request. Usage is billed to your account.
- Base URL
https://api.lyceum.technology/openai/v1- Model ID
qwen/qwen3-embedding-8b- Request fields
model, input
Documented request fields for this endpoint. See the documentation for model-specific controls and limits.
app.py · Install openai and set LYCEUM_API_KEY
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["LYCEUM_API_KEY"],
base_url="https://api.lyceum.technology/openai/v1",
)
response = client.embeddings.create(
model="qwen/qwen3-embedding-8b",
input="A short text to embed.",
)
print(len(response.data[0].embedding))app.ts · Install openai and set LYCEUM_API_KEY in Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.LYCEUM_API_KEY,
baseURL: "https://api.lyceum.technology/openai/v1",
});
const response = await client.embeddings.create({
model: "qwen/qwen3-embedding-8b",
input: "A short text to embed.",
});
console.log(response.data[0].embedding.length);Terminal · Set LYCEUM_API_KEY in your terminal
curl https://api.lyceum.technology/openai/v1/embeddings \
-H "Authorization: Bearer $LYCEUM_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3-embedding-8b",
"input": "A short text to embed."
}'What it costs
You pay only for the tokens you use.
Token pricing
| USD per million tokens | |
|---|---|
| Input | $0.02 |
| Cached input | $0.00 |
| Output | Input only |
No base fee. Caching applies only where listed. Check the model's processing region before sending data.
The model in detail
Checked against the sources below. Anything they don't state is left out.
Capabilities
- Input and output
- Text in, embedding vectors out
- Context window
- 32K tokens
Architecture and licence
- Total parameters
- 8B
- Architecture
- Dense
- Licence
- Apache 2.0
- Released
- 5 June 2025
Availability
- API model ID
qwen/qwen3-embedding-8b- Provider
- Qwen
- Processing region
- EU-hosted
Sources
- Input and output types: official model card, checked 10 September 2026.
- Capabilities and request fields: Lyceum API documentation, checked 9 September 2026.
- Parameters, licence and release date: Qwen’s own sources, including its model card and announcement, checked 29 September 2026.