Alibaba · apache-2.0

Qwen3 Embedding 8B

Available

Qwen3 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.

BETA EMBEDDING MULTILINGUAL
Context window
32K
32,768 tokens
Input price
$0.39 / 1M tokens
Output price
$0.99 / 1M tokens

Quickstart

OpenAI-compatible API. Point base_url at the gateway and pass the Model ID in the model field.

Create API key
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))

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.

Input price
$0.39/ 1M tokens
Output price
$0.99/ 1M tokens
Cost estimator
Per request
—
Per day
—
Per month (30 days)
—

Enter your expected usage; actual billing follows the token counts measured by the gateway.

View plans

Specifications

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.