Qwen3.7-Plus

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ReasoningText GenerationVisual Understanding

Overview

ReasoningText GenerationVisual Understanding

Among the Qwen3.7 series, the cost-effective Plus model builds on its robust text capabilities while delivering a comprehensive upgrade to its vision‑language abilities, all while preserving its full‑stack agent‑level intelligence for coding, tool use, and productivity workflows. Its key distinguishing feature is multi‑modal interactive hybrid agent capabilities, enabling it to perceive real‑world scenes, read screens and interact with GUIs, generate code based on visual references, and perform end‑to‑end navigation within mobile apps.

Input

ImageTextVideo

Output

Text

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

Input20% off
$0.4$0.32
Per 1M tokens
Output20% off
$1.6$1.28
Per 1M tokens
Input(Implicit Cache)20% off
$0.08$0.064
Per 1M tokens
Explicit Cache Creation20% off
$0.5$0.4
Per 1M tokens
Explicit Cache Read20% off
$0.04$0.032
Per 1M tokens

Input20% off
$0.4$0.32
Per 1M tokens
Output20% off
$1.6$1.28
Per 1M tokens
Input(Implicit Cache)20% off
$0.08$0.064
Per 1M tokens
Explicit Cache Creation20% off
$0.5$0.4
Per 1M tokens
Explicit Cache Read20% off
$0.04$0.032
Per 1M tokens

Context

Max Input

991.80K

Max Output

65.53K

Rate Limits

RPMRequests Per Minute
30K
TPMTokens Per Minute
5M

Built-in Tools

code_interpreterResponses API

i2i_searchResponses API

t2i_searchResponses API

web_extractorResponses API

web_searchResponses API

API Reference

Get API Key

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

messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
            {"text": "What is depicted in the image?"}]
    }]
response = dashscope.MultiModalConversation.call(
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model='qwen3.7-plus',
    messages=messages
)
print(response.output.choices[0].message.content[0]["text"])

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

messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
            {"text": "What is depicted in the image?"}]
    }]
response = dashscope.MultiModalConversation.call(
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model='qwen3.7-plus',
    messages=messages
)
print(response.output.choices[0].message.content[0]["text"])