Qwen3.7 Text Embedding API

Name: Qwen3.7 Text Embedding
Brand: Alibaba Cloud
Price: 0.11 USD
Availability: InStock

High-quality multilingual text embeddings for RAG, semantic search, clustering and retrieval.

$0.11

Input / 1M tokens

FREE

Output

Multi

Language coverage

/v1/embeddings

Endpoint

Why use Qwen3.7 Text Embedding on NovAI?

High-quality multilingual text vectors
Optimized for RAG and semantic search
Clustering, classification and retrieval
Official-direct Alibaba Cloud access
OpenAI-compatible /v1/embeddings endpoint

Pricing

	NovAI	OpenRouter	Access
Input / 1M tokens	$0.11	N/A	Official direct

Best use cases

RAG knowledge bases
Semantic search
Document clustering
Recommendation systems
Multilingual retrieval

Quick start

cURL

curl https://aiapi-pro.com/v1/embeddings -H "Authorization: Bearer $NOVAI_API_KEY" -H "Content-Type: application/json" -d '{
    "model": "qwen3.7-text-embedding",
    "input": "The quick brown fox jumps over the lazy dog"
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://aiapi-pro.com/v1", api_key="YOUR_NOVAI_API_KEY")
resp = client.embeddings.create(model="qwen3.7-text-embedding", input="The quick brown fox jumps over the lazy dog")
print(resp.data[0].embedding[:5])

Standard OpenAI embeddings response format - just set base_url to https://aiapi-pro.com/v1 and use your NovAI API key. Full reference in the API docs.