Models

Qwen 3.7 Text Embedding

Model id: alibaba_qwen/qwen3.7-text-embedding

  • Cost
  • Long context
  • Search

Qwen’s embeddings model. It turns text into a vector. It does not chat.

Best for

search and similarity on text, including long documents.

Provider
Alibaba Cloud Model Studio
Context window
128,000
Release date
2026-07-15

Pricing

Input
$0.108 / 1M
Output
$0.00 / 1M

Amounts in Canadian dollars, converted at the Bank of Canada indicative rate (2026-09-21).

Performance

Reading

Last 7 days

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Activity

Tokens

Top 5 tools · last 7 days

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Availability

Availability (%)

Last 7 days

Operational probes
99.9% over 7 days
Samples
9,205

View service status

Quick start

Create an embedding with a tonia_ key and the exact model id below.

curl

curl https://pass.tonia.ca:8443/v1/embeddings \
  -H "Authorization: Bearer $TONIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
      "model": "alibaba_qwen/qwen3.7-text-embedding",
      "input": "Bonjour"
    }'

Python (tonia SDK)

import os
from tonia import Tonia

client = Tonia(api_key=os.environ["TONIA_API_KEY"])
response = client.embeddings.create(
    model="alibaba_qwen/qwen3.7-text-embedding",
    input="Bonjour",
)

TypeScript (tonia SDK)

import { Tonia } from "@tonia-router/sdk";

const client = new Tonia({
  apiKey: process.env.TONIA_API_KEY,
});

const response = await client.embeddings.create({
  model: "alibaba_qwen/qwen3.7-text-embedding",
  input: "Bonjour",
});

Create a key in the portal