Qwen3.5-Plus-2026-02-15

Qwen3.5-Plus

Copied!

Try AIAdd to Compare

ReasoningVisual UnderstandingText Generation

Overview

ReasoningVisual UnderstandingText Generation

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.This version is a snapshot as of February 15, 2026.

Input

TextImageVideo

Output

Text

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

Input
$0.4Per 1M tokens
Output
$2.4Per 1M tokens

Input
$0.4Per 1M tokens
Output
$2.4Per 1M tokens

Context

Standard

Context

Max Input

991.80K

Max Output

65.53K

Thinking

Context

Max Input

983.61K

Max Output

65.53K

Max Reasoning

81.92K

Rate Limits

RPMRequests Per Minute
60
TPMTokens Per Minute
1M

Built-in Tools

web_searchResponses API

web_extractorResponses API

code_interpreterResponses API

t2i_searchResponses API

i2i_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='qwen3.5-plus-2026-02-15',
    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='qwen3.5-plus-2026-02-15',
    messages=messages
)
print(response.output.choices[0].message.content[0]["text"])