Qwen3.7-Max-Preview - Qwen Cloud

Qwen3.7-Max

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ReasoningText Generation

Overview

ReasoningText Generation

The Max model, the largest and most capable variant in the Qwen3.7 series, is available as a preview and supports only thinking mode, offering a pure text‑only interface for experimentation. It is primarily optimized for general‑purpose conversational use cases, such as knowledge‑based question answering, instruction following, and creative writing.

Input

Text

Output

Text

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

Input
$2.5Per 1M tokens
Output
$7.5Per 1M tokens

Context

Max Input

991.80K

Max Output

65.53K

Rate Limits

RPMRequests Per Minute
600
TPMTokens Per Minute
1M

Built-in Tools

code_interpreterResponses API

web_extractorResponses API

web_searchResponses API

API Reference

Get API Key

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import os
from dashscope import Generation
import dashscope
dashscope.base_http_api_url = "https://[workspace-id].ap-southeast-1.maas.aliyuncs.com/api/v1/"

messages = [{"role": "user", "content": "Who are you"}]

completion = Generation.call(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen3.7-max-preview",
    messages=messages,
    result_format="message", 
    stream=True,
    incremental_output=True, 
)

is_answering = False

print("=" * 20 + "Thinking process" + "=" * 20)

for chunk in completion:
    if (
        chunk.output.choices[0].message.content == ""
        and chunk.output.choices[0].message.reasoning_content == ""
    ):
        pass
    else:
        if (
            chunk.output.choices[0].message.reasoning_content != ""
            and chunk.output.choices[0].message.content == ""
        ):
            print(chunk.output.choices[0].message.reasoning_content, end="", flush=True)
        elif chunk.output.choices[0].message.content != "":
            if not is_answering:
                print("\n" + "=" * 20 + "Full response" + "=" * 20)
                is_answering = True
            print(chunk.output.choices[0].message.content, end="", flush=True)

import os
from dashscope import Generation
import dashscope
dashscope.base_http_api_url = "https://[workspace-id].ap-southeast-1.maas.aliyuncs.com/api/v1/"

messages = [{"role": "user", "content": "Who are you"}]

completion = Generation.call(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    model="qwen3.7-max-preview",
    messages=messages,
    result_format="message", 
    stream=True,
    incremental_output=True, 
)

is_answering = False

print("=" * 20 + "Thinking process" + "=" * 20)

for chunk in completion:
    if (
        chunk.output.choices[0].message.content == ""
        and chunk.output.choices[0].message.reasoning_content == ""
    ):
        pass
    else:
        if (
            chunk.output.choices[0].message.reasoning_content != ""
            and chunk.output.choices[0].message.content == ""
        ):
            print(chunk.output.choices[0].message.reasoning_content, end="", flush=True)
        elif chunk.output.choices[0].message.content != "":
            if not is_answering:
                print("\n" + "=" * 20 + "Full response" + "=" * 20)
                is_answering = True
            print(chunk.output.choices[0].message.content, end="", flush=True)