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qwen3.5-flash

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The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.This model version is functionally equivalent to the snapshot model qwen3.5-flash-2026-02-23.

Inference Service Provider

The inference service provider for qwen3.5-flash is Alibaba Cloud Model Studio.

Model Capabilities

China (Beijing)

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

Singapore

Scope: International

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

Unsupported

Fine-tuning

Unsupported

Germany (Frankfurt)

Scope: EU, Global

Capability Support Capability Support

Input Modality

Text Image Video

Output Modality

Text

Model Experience

Supported

Function Calling

Supported

Structured Outputs

Supported

Web Search

Unsupported

Prefix Completion

Supported

Context Caching

Supported

Batch Inference

Unsupported

Fine-tuning

Unsupported

US (Virginia)

Scope: Global

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

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)

Input<=128k

Billing Item Price (CNY) Unit

Input

0.2

Per 1M tokens

Output

2

Per 1M tokens

Input(Batch File)

0.1

Per 1M tokens

Output(Batch File)

1

Per 1M tokens

Explicit Cache Creation

0.25

Per 1M tokens

Explicit Cache Read

0.02

Per 1M tokens

Input(Batch Chat)

0.2

Per 1M tokens

Output(Batch Chat)

2

Per 1M tokens

128k<Input<=256k

Billing Item Price (CNY) Unit

Input

0.8

Per 1M tokens

Output

8

Per 1M tokens

Input(Batch File)

0.4

Per 1M tokens

Output(Batch File)

4

Per 1M tokens

Explicit Cache Creation

1

Per 1M tokens

Explicit Cache Read

0.08

Per 1M tokens

Input(Batch Chat)

0.8

Per 1M tokens

Output(Batch Chat)

8

Per 1M tokens

256k<Input<=1m

Billing Item Price (CNY) Unit

Input

1.2

Per 1M tokens

Output

12

Per 1M tokens

Input(Batch File)

0.6

Per 1M tokens

Output(Batch File)

6

Per 1M tokens

Explicit Cache Creation

1.5

Per 1M tokens

Explicit Cache Read

0.12

Per 1M tokens

Input(Batch Chat)

1.2

Per 1M tokens

Output(Batch Chat)

12

Per 1M tokens

Singapore

Scope: International

Billing Item Price (CNY) Unit

Input

0.734

Per 1M tokens

Output

2.936

Per 1M tokens

Explicit Cache Creation

0.917

Per 1M tokens

Explicit Cache Read

0.073

Per 1M tokens

Germany (Frankfurt)

Scope: EU

Billing Item Price (CNY) Unit

Input

0.749

Per 1M tokens

Output

2.998

Per 1M tokens

Explicit Cache Creation

0.937

Per 1M tokens

Explicit Cache Read

0.075

Per 1M tokens

Scope: Global

Input<=128k

Billing Item Price (CNY) Unit

Input

0.2

Per 1M tokens

Output

2

Per 1M tokens

Explicit Cache Creation

0.25

Per 1M tokens

Explicit Cache Read

0.02

Per 1M tokens

128k<Input<=256k

Billing Item Price (CNY) Unit

Input

0.8

Per 1M tokens

Output

8

Per 1M tokens

Explicit Cache Creation

1

Per 1M tokens

Explicit Cache Read

0.08

Per 1M tokens

256k<Input<=1m

Billing Item Price (CNY) Unit

Input

1.2

Per 1M tokens

Output

12

Per 1M tokens

Explicit Cache Creation

1.5

Per 1M tokens

Explicit Cache Read

0.12

Per 1M tokens

US (Virginia)

Scope: Global

Input<=128k

Billing Item Price (CNY) Unit

Input

0.2

Per 1M tokens

Output

2

Per 1M tokens

Explicit Cache Creation

0.25

Per 1M tokens

Explicit Cache Read

0.02

Per 1M tokens

128k<Input<=256k

Billing Item Price (CNY) Unit

Input

0.8

Per 1M tokens

Output

8

Per 1M tokens

Explicit Cache Creation

1

Per 1M tokens

Explicit Cache Read

0.08

Per 1M tokens

256k<Input<=1m

Billing Item Price (CNY) Unit

Input

1.2

Per 1M tokens

Output

12

Per 1M tokens

Explicit Cache Creation

1.5

Per 1M tokens

Explicit Cache Read

0.12

Per 1M tokens

Rate Limits

China (Beijing)

Parameter Value

RPM (Requests Per Minute)

30000

TPM (Tokens Per Minute)

10,000,000

Singapore

Scope: International

Parameter Value

RPM (Requests Per Minute)

15000

TPM (Tokens Per Minute)

5,000,000

Germany (Frankfurt)

Scope: EU

Parameter Value

RPM (Requests Per Minute)

35000

TPM (Tokens Per Minute)

10,000,000

Scope: Global

Parameter Value

RPM (Requests Per Minute)

35000

TPM (Tokens Per Minute)

10,000,000

US (Virginia)

Scope: Global

Parameter Value

RPM (Requests Per Minute)

30000

TPM (Tokens Per Minute)

10,000,000

Snapshot Versions

qwen3.5-flash-2026-02-23

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.This version is a snapshot as of February 23, 2026.

Inference Service Provider

The inference service provider for qwen3.5-flash-2026-02-23 is Alibaba Cloud Model Studio.

Model Capabilities

China (Beijing)

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

Supported

Singapore

Scope: International

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

Germany (Frankfurt)

Scope: EU, Global

Capability Support Capability Support

Input Modality

Text Image Video

Output Modality

Text

Model Experience

Supported

Function Calling

Supported

Structured Outputs

Supported

Web Search

Unsupported

Prefix Completion

Supported

Context Caching

Unsupported

Batch Inference

Unsupported

Fine-tuning

Unsupported

US (Virginia)

Scope: Global

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)

Input<=128k

Billing Item Price (CNY) Unit

Input

0.2

Per 1M tokens

Output

2

Per 1M tokens

128k<Input<=256k

Billing Item Price (CNY) Unit

Input

0.8

Per 1M tokens

Output

8

Per 1M tokens

256k<Input<=1m

Billing Item Price (CNY) Unit

Input

1.2

Per 1M tokens

Output

12

Per 1M tokens

Singapore

Scope: International

Billing Item Price (CNY) Unit

Input

0.734

Per 1M tokens

Output

2.936

Per 1M tokens

Germany (Frankfurt)

Scope: EU

Billing Item Price (CNY) Unit

Input

0.749

Per 1M tokens

Output

2.998

Per 1M tokens

Scope: Global

Input<=128k

Billing Item Price (CNY) Unit

Input

0.2

Per 1M tokens

Output

2

Per 1M tokens

128k<Input<=256k

Billing Item Price (CNY) Unit

Input

0.8

Per 1M tokens

Output

8

Per 1M tokens

256k<Input<=1m

Billing Item Price (CNY) Unit

Input

1.2

Per 1M tokens

Output

12

Per 1M tokens

US (Virginia)

Scope: Global

Input<=128k

Billing Item Price (CNY) Unit

Input

0.2

Per 1M tokens

Output

2

Per 1M tokens

128k<Input<=256k

Billing Item Price (CNY) Unit

Input

0.8

Per 1M tokens

Output

8

Per 1M tokens

256k<Input<=1m

Billing Item Price (CNY) Unit

Input

1.2

Per 1M tokens

Output

12

Per 1M tokens

Rate Limits

China (Beijing)

Parameter Value

RPM (Requests Per Minute)

600

TPM (Tokens Per Minute)

1,000,000

Singapore

Scope: International

Parameter Value

RPM (Requests Per Minute)

60

TPM (Tokens Per Minute)

1,000,000

Germany (Frankfurt)

Scope: EU

Parameter Value

RPM (Requests Per Minute)

600

TPM (Tokens Per Minute)

1,000,000

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
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