Qwen3 Embedding 8B
AvailableQwen3 Embedding 8B is a multilingual text-embedding model (top-ranked on the MTEB leaderboard). It is used through the OpenAI-compatible /v1/embeddings endpoint, supports 100+ languages and produces 4096-dimensional embeddings.
Quickstart
OpenAI-compatible API. Point base_url at the gateway and pass the Model ID in the model field.
curl https://llm.fixcloud.ai/v1/embeddings \
-H "Authorization: Bearer $FXC_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-embedding-8b",
"input": ["GPU cloud for LLM inference", "Kedi mi köpek mi?"]
}'
from openai import OpenAI
client = OpenAI(base_url="https://llm.fixcloud.ai/v1", api_key="FXC_API_KEY")
response = client.embeddings.create(
model="qwen3-embedding-8b",
input=["GPU cloud for LLM inference", "Kedi mi köpek mi?"],
)
print(len(response.data[0].embedding))
import OpenAI from 'openai';
const client = new OpenAI({ baseURL: 'https://llm.fixcloud.ai/v1', apiKey: process.env.FXC_API_KEY });
const response = await client.embeddings.create({
model: 'qwen3-embedding-8b',
input: ['GPU cloud for LLM inference', 'Kedi mi köpek mi?'],
});
console.log(response.data[0].embedding.length);
Capabilities
The features this model offers through the API.
- EmbeddingsProduces vector embeddings (/v1/embeddings).
Pricing
Prices are per 1 million tokens. Once the monthly token quota of your plan is used up, usage is billed at these prices.
- Per request
- —
- Per day
- —
- Per month (30 days)
- —
Enter your expected usage; actual billing follows the token counts measured by the gateway.
View plansSpecifications
Transparency details about the infrastructure serving this model.
- Family
- qwen
- Publisher
- Alibaba
- License
- apache-2.0
- Model ID
- qwen3-embedding-8b
- Context (tokens)
- 32,768
- Weight precision
- BF16
- Quantization
- None (native)
- GPUs per replica
- 1 × GPU
32K-token input window.