Qwen: Qwen3.7 Max: AI model
Qwen3.7 Max is a Qwen language model with a built-in thinking mode for deep reasoning, with a 1M-token context window. Reachable from inside Iran through Hormouz.
- Context window:
- 1,000,000 tokens
- Input:
- $1.48/1M tokens
- Output:
- $4.42/1M tokens
- Type:
- text
- Tools
- Streaming
- Long context
Thinking levels:
Qwen3.7 Max is a language model from Alibaba's Qwen series, with a context window of up to 1M tokens; it is strong at tool calling. It has a built-in thinking mode that produces explicit step-by-step reasoning before the final answer.
Through Hormouz the model is served behind an OpenAI-compatible API. Point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs unchanged. Pricing is usage-based: $1.25 per million input tokens and $3.75 per million output tokens.
Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.7-max",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Qwen |
|---|---|
| Type | Text |
| Context window | 1,000,000 tokens |
| Pricing | $1.48/M in · $4.42/M out |
| API | Chat Completions |
| Capabilities | Streaming · Tools |
Benchmarks
Reasoning
Coding
Agentic
Source: Artificial Analysis
Design Arena
How Design Arena works ↗Metrics sourced from Design Arena
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.7-max",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
model="qwen/qwen3.7-max",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
model: "qwen/qwen3.7-max",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Qwen: Qwen3.7 Max API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches Qwen: Qwen3.7 Max and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- What is Qwen3.7 Max and what is it good for?
- Qwen3.7 Max is a Qwen language model. It handles general text tasks like reasoning, writing, coding and multi-turn chat.
- What is the context window of Qwen3.7 Max?
- The model supports up to 1M tokens of context, which suits long documents and multi-turn conversations.
- How much does Qwen3.7 Max cost?
- Pricing is usage-based: $1.25 per million input tokens and $3.75 per million output tokens. There is no fixed monthly fee. You pay only for what you use.
- How do I access Qwen3.7 Max from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card required.
- Is Qwen3.7 Max compatible with OpenAI code?
- Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
- Does Qwen3.7 Max support a thinking / reasoning mode?
- Yes. It produces explicit step-by-step reasoning before its final answer, which helps on math, coding and multi-step logic tasks.
Updated 2026-10-13