Qwen3.7-Plus-2026-05-26

Qwen3.7-Plus

Copied!

Try AIAdd to Compare

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.This version is a snapshot as of May 26, 2026.

Input

ImageTextVideo

Output

Text

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

Input
$0.4Per 1M tokens
Output
$1.6Per 1M tokens
Input(Implicit Cache)
$0.08Per 1M tokens
Explicit Cache Creation
$0.5Per 1M tokens
Explicit Cache Read
$0.04Per 1M tokens

Input
$0.4Per 1M tokens
Output
$1.6Per 1M tokens
Input(Implicit Cache)
$0.08Per 1M tokens
Explicit Cache Creation
$0.5Per 1M tokens
Explicit Cache Read
$0.04Per 1M tokens

Context

Max Input

991.80K

Max Output

65.53K

Rate Limits

RPMRequests Per Minute
60
TPMTokens Per Minute
1M

Built-in Tools

code_interpreterResponses API

i2i_searchResponses API

t2i_searchResponses API

web_extractorResponses API

web_searchResponses API

API Reference

Get API Key

Copied!

123456789101112131415161718

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-2026-05-26',
    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-2026-05-26',
    messages=messages
)
print(response.output.choices[0].message.content[0]["text"])