Qwen3.5 Plus overview
Qwen3.5 Plus by Alibaba Cloud
Qwen3-5-Plus is a frontier AI model with a 1M-token context window and native vision-language capabilities for agentic tasks.
Qwen3.5 Plus specs
- Model ID
alibaba/qwen3.5-plus- Developer
- Alibaba Cloud
- Context window
- 1,000,000 tokens
- Max output
- 65,536 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is Qwen3.5 Plus API?
Unlike models that bolt on vision as an afterthought, Qwen3.5 is a native vision-language model trained end-to-end on trillions of text, image, and video tokens simultaneously. This early-fusion approach gives Qwen3.5 Plus a qualitative advantage in tasks requiring deep semantic integration of text and visual content.
Benchmarks show the 3.5 series achieving parity with frontier-class models from OpenAI and Anthropic across reasoning, coding, agentic tasks, and multimodal understanding, while delivering significant efficiency improvements over the prior generation.
Model Architecture at a Glance
- Architecture: Hybrid (GDN + MoE)
What Qwen3.5 Plus Can Do
Eight headline capabilities that distinguish Qwen3.5 Plus from the broader model landscape as of early 2026.
One Million Token Context
Qwen3.5 Plus supports an extended context window of up to 1 million tokens, compared to 256K tokens for the base Qwen3.5 model. This enables single‑session analysis of large codebases, multi‑day chat logs, legal corpora, or multi‑document research workflows without manual chunking.
Adaptive Thinking Mode (Auto)
Exclusive to Qwen3.5 Plus, the Auto mode intelligently decides whether to invoke extended reasoning, run a search query, call a code interpreter, or respond directly, matching compute expenditure to actual task complexity without any user-level configuration.
Native Visual Agent Capabilities
Because the model was trained on UI screenshots from mobile and desktop interfaces, Qwen3.5 Plus can perceive, interpret, and act on graphical interfaces, clicking buttons, filling forms, navigating software environments autonomously across both Android and desktop operating systems.
Use cases
Code agents: the model is documented as ideal for coding agents, and its coding-focused tooling support is highlighted in the provider materials.
Production workflows: Alibaba Cloud says it is suited to production workflows, and describes it as well-suited for complex agent-based tasks.
High-throughput scenarios: the documentation explicitly lists high-throughput scenarios as a fit for the model.
Visual and multimodal agent tasks: Alibaba describes it as a native multimodal model for reasoning, agent capabilities, and multimodal understanding, including acting as a visual agent that interacts with smartphones and computers.
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
- Web search
Qwen3.5 Plus API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.4 | 1M tokens |
| Output | $2.4 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Qwen3.5 Plus vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Qwen3.5 Plus | $0.4 | $2.4 |
| Qwen3.8 Omni Flash | $0.15 | $0.47 |
| Qwen3.8-Flash | $0.16 | $0.47 |
| Qwen 3.8 27B | $0.4761 | $3.39 |
| Qwen3.8 Max Prime | $4.23 | $12.7 |
How to use the Qwen3.5 Plus API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "alibaba/qwen3.5-plus",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "alibaba/qwen3.5-plus",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "alibaba/qwen3.5-plus",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Qwen3.5 Plus
Related articles
Qwen3.5 Plus FAQ
What is the context window of Qwen3.5 Plus?
Qwen3.5 Plus has a 1,000,000 tokens context window and can return up to 65,536 tokens.
What inputs and outputs does Qwen3.5 Plus support?
Qwen3.5 Plus takes text as input and returns text.
What is the model ID for Qwen3.5 Plus?
Use alibaba/qwen3.5-plus as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was Qwen3.5 Plus released?
Qwen3.5 Plus became available on February 20, 2026.
How much does Qwen3.5 Plus cost?
Qwen3.5 Plus costs $0.4 input and $2.4 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Qwen3.5 Plus support streaming?
Yes, Qwen3.5 Plus can stream responses as they are generated.
Who created Qwen3.5 Plus?
Qwen3.5 Plus was built by Alibaba Cloud.
Does Qwen3.5 Plus support tool use, including parallel tool calls?
Yes. It supports tools, parallel tool calls, and web search as part of its feature set.