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qwen3.7-text-embedding API pricing & access

qwen3.7-text-embedding API pricing: $0.07 per 1M tokens. Alibaba Qwen 3.7 text embedding model

qwen3.7-text-embedding API access

Alibaba Qwen 3.7 text embedding model

Compare supported API endpoints and capabilities, then access qwen3.7-text-embedding through the unified API gateway.

Category
vector
Supported APIs
OpenAI Chat Completions API
API endpoints
POST /v1/chat/completions

qwen3.7-text-embedding API pricing

Base input price
$0.07 per 1M tokens
Base output price
$0.07 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About qwen3.7-text-embedding

Alibaba Qwen 3.7 text embedding model

Use cases and prompting

Use cases to explore

  • Evaluate semantic search with representative queries and documents.
  • Compare retrieval quality on your own knowledge base before connecting a downstream assistant.

Practical tips

Check whether the endpoint returns embeddings or reranks documents. Keep indexing and query preprocessing consistent.

How to call qwen3.7-text-embedding

qwen3.7-text-embedding is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3.7-text-embedding", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="qwen3.7-text-embedding",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Frequently asked questions about qwen3.7-text-embedding

What is qwen3.7-text-embedding?

Alibaba Qwen 3.7 text embedding model

How do I call qwen3.7-text-embedding?

Create an API key with access to qwen3.7-text-embedding, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is qwen3.7-text-embedding priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

How should I evaluate qwen3.7-text-embedding for my project?

Check whether the endpoint returns embeddings or reranks documents. Keep indexing and query preprocessing consistent.

Back to AI model API pricing