Ali

Qwen3.7-Max

ali/qwen3.7-max
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3.7系列中规模最大、综合能力最强的Max模型,当前开放纯文本模型能力供体验。Qwen3.7是面向智能体时代的新一代旗舰模型,核心优势在于智能体能力的广度与深度:在编程、办公与生产力、长周期自主执行方面均能出色胜任各项任务。

Input / output modalities
文本 to 文本
Reference input / output price
Input¥12Output¥36per 1M tokens
Context window
1M
Added to catalog
May 25, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Ali¥12¥36¥2.41M64K

Ali

Latency
1.89s
Throughput
84 tokens/s
Context
1M

Pricing

Input
¥12/M tokens
Output
¥36/M tokens
Cached
¥2.4/M tokens

Additional pricing

Cache write
¥15
Cache read
¥1.2

Specifications

Context
1M
Max output
64K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Qwen3.7-Max code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="ali/qwen3.7-max", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

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