Models

Qwen 3.7 Max

Model id: alibaba_qwen/qwen3.7-max

  • Agentic
  • Frontier
  • Coding
  • Reasoning
  • Vision
  • Multimodal
  • Long context
  • Tools

Alibaba Qwen 3.7 Max via Model Studio — prior native Max for deep chat, coding, and agents.

Best for

Ideal when you want proven Qwen 3.7 Max quality before moving up to Qwen 3.8 Max.

Provider
Alibaba Cloud Model Studio
Context window
1,000,000
Release date
2026-07-01
Reasoning effort
nonelowmediumhighDefault: medium

Pricing

Input
$3.8558 / 1M
Cached input
$0.7712 / 1M
Output
$11.5673 / 1M

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

Performance

Reading

Last 7 days

Not enough data to display the chart.

Activity

Tokens

Top 5 tools · last 7 days

Not enough data to display tool activity.

Availability

Availability (%)

Last 7 days

Operational probes
99.9% over 7 days
Samples
9,203

View service status

Quick start

Call the API with a tonia_ key and the exact model id below.

curl

curl https://pass.tonia.ca:8443/v1/chat/completions \
  -H "Authorization: Bearer $TONIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
      "model": "alibaba_qwen/qwen3.7-max",
      "messages": [
        {
          "role": "user",
          "content": "Bonjour"
        }
      ]
    }'

Python (OpenAI SDK)

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://pass.tonia.ca:8443/v1",
    api_key=os.environ["TONIA_API_KEY"],
)
response = client.chat.completions.create(
    model="alibaba_qwen/qwen3.7-max",
    messages=[{"role": "user", "content": "Bonjour"}],
)

TypeScript (OpenAI SDK)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://pass.tonia.ca:8443/v1",
  apiKey: process.env.TONIA_API_KEY,
});

const response = await client.chat.completions.create({
  model: "alibaba_qwen/qwen3.7-max",
  messages: [{ role: "user", content: "Bonjour" }],
});

Create a key in the portal