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 model version is functionally equivalent to the snapshot model qwen3.5-plus-2026-02-15.
Inference Service Provider
The inference service provider for qwen3.5-plus is Alibaba Cloud Model Studio.
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Supported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Supported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 65536 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 65536 | Max Chain-of-Thought Length | 81920 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
Input<=128k
Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.115 | Per 1M tokens |
Output | 0.688 | Per 1M tokens |
Input(Batch File) | 0.057 | Per 1M tokens |
Output(Batch File) | 0.344 | Per 1M tokens |
Explicit Cache Creation | 0.143 | Per 1M tokens |
Explicit Cache Read | 0.012 | Per 1M tokens |
Input(Batch Chat) | 0.115 | Per 1M tokens |
Output(Batch Chat) | 0.688 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.287 | Per 1M tokens |
Output | 1.72 | Per 1M tokens |
Input(Batch File) | 0.143 | Per 1M tokens |
Output(Batch File) | 0.86 | Per 1M tokens |
Explicit Cache Creation | 0.358 | Per 1M tokens |
Explicit Cache Read | 0.029 | Per 1M tokens |
Input(Batch Chat) | 0.287 | Per 1M tokens |
Output(Batch Chat) | 1.72 | Per 1M tokens |
256k<Input<=1m
256k<Input<=1m
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.573 | Per 1M tokens |
Output | 3.44 | Per 1M tokens |
Input(Batch File) | 0.287 | Per 1M tokens |
Output(Batch File) | 1.72 | Per 1M tokens |
Explicit Cache Creation | 0.717 | Per 1M tokens |
Explicit Cache Read | 0.057 | Per 1M tokens |
Input(Batch Chat) | 0.573 | Per 1M tokens |
Output(Batch Chat) | 3.44 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 30000 |
TPM (Tokens Per Minute) | 5,000,000 |
Snapshot Versions
qwen3.5-plus-2026-04-20
The Qwen3.5 native vision-language series Plus model has seen a substantial improvement in agentic coding capabilities compared to the February 15th snapshot. Inference speed has also been significantly enhanced, while its knowledge retention, reasoning ability, and long-context processing remain at a high level, making it well-suited for complex agent-based tasks. It is ideal for applications such as coding agents, production workflows, and high-throughput scenarios. This version is based on a snapshot taken on April 20, 2026.
Inference Service Provider
The inference service provider for qwen3.5-plus-2026-04-20 is Alibaba Cloud Model Studio.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Supported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 65536 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 65536 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
- China (Beijing)
- Singapore
Input<=128k
Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.115 | Per 1M tokens |
Output | 0.688 | Per 1M tokens |
Explicit Cache Creation | 0.14375 | Per 1M tokens |
Explicit Cache Read | 0.0115 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.287 | Per 1M tokens |
Output | 1.72 | Per 1M tokens |
Explicit Cache Creation | 0.35875 | Per 1M tokens |
Explicit Cache Read | 0.0287 | Per 1M tokens |
256k<Input<=1m
256k<Input<=1m
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.573 | Per 1M tokens |
Output | 3.44 | Per 1M tokens |
Explicit Cache Creation | 0.71625 | Per 1M tokens |
Explicit Cache Read | 0.0573 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 600 |
TPM (Tokens Per Minute) | 1,000,000 |
qwen3.5-plus-2026-02-15
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.
Inference Service Provider
The inference service provider for qwen3.5-plus-2026-02-15 is Alibaba Cloud Model Studio.
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Supported |
Prefix Completion | Supported | Context Caching | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 65536 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 65536 | Max Chain-of-Thought Length | 81920 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
Input<=128k
Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.115 | Per 1M tokens |
Output | 0.688 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.287 | Per 1M tokens |
Output | 1.72 | Per 1M tokens |
256k<Input<=1m
256k<Input<=1m
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.573 | Per 1M tokens |
Output | 3.44 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 600 |
TPM (Tokens Per Minute) | 1,000,000 |