The Qwen3.6 35B-A3B native vision-language model is built on a hybrid architecture that integrates linear attention mechanisms with a sparse mixture-of-experts framework, achieving higher inference efficiency. Compared with the 3.5-35B-A3B, this model demonstrates significantly improved agentic coding capabilities, mathematical and code reasoning abilities, spatial intelligence, as well as object localization and object detection performance.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality |
Image Text Video |
Output Modality |
Text |
Model Experience |
Function Calling |
||
Structured Outputs |
Web Search |
||
Prefix Completion |
Context Caching |
||
Batch Inference |
Fine-tuning |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length |
260096 |
Max Output Length |
65536 |
Context Window |
262144 |
Max Input Length (Thinking Mode) |
258048 |
Max Output Length (Thinking Mode) |
65536 |
Max Chain-of-Thought Length |
131072 |
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)
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input |
0.248 |
Per 1M tokens |
Output |
1.485 |
Per 1M tokens |
Germany (Frankfurt)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input |
0.248 |
Per 1M tokens |
Output |
1.485 |
Per 1M tokens |
US (Virginia)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input |
0.248 |
Per 1M tokens |
Output |
1.485 |
Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
600 |
TPM (Tokens Per Minute) |
1,000,000 |
Germany (Frankfurt)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
600 |
TPM (Tokens Per Minute) |
1,000,000 |
US (Virginia)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
600 |
TPM (Tokens Per Minute) |
1,000,000 |