glm-5.1

更新时间:
复制 MD 格式

GLM-5.1 is a model developed by Zhipu AI, specifically designed for long-horizon tasks. It has 744 billion parameters, supports an ultra-long context of 200k tokens, and can generate up to 128k tokens in a single response. GLM-5.1 excels in logical reasoning, long-text understanding, and code generation, while balancing performance with inference efficiency. It delivers outstanding results across multiple multi-task benchmarks and is well-suited for applications such as intelligent human-computer interaction, enterprise solutions, and developer assistance.

Inference Service Provider

The inference service provider for glm-5.1 is Alibaba Cloud Model Studio.

Model Capabilities

Capability Support Capability Support

Input Modality

Text

Output Modality

Text

Model Experience

Supported

Function Calling

Supported

Structured Outputs

Supported

Web Search

Unsupported

Prefix Completion

Unsupported

Context Caching

Supported

Batch Inference

Unsupported

Fine-tuning

Unsupported

Context Limits

Parameter Value Parameter Value

Max Input Length

202745

Max Output Length

131072

Context Window

202745

Max Input Length (Thinking Mode)

169984

Max Output Length (Thinking Mode)

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)

Input<=32k

Billing Item Price (CNY) Unit

Input

6

Per 1M tokens

Output

24

Per 1M tokens

Input(Implicit Cache)

1.2

Per 1M tokens

Explicit Cache Creation

7.5

Per 1M tokens

Explicit Cache Read

0.6

Per 1M tokens

32k<Input<=200k

Billing Item Price (CNY) Unit

Input

8

Per 1M tokens

Output

28

Per 1M tokens

Input(Implicit Cache)

1.6

Per 1M tokens

Explicit Cache Creation

10

Per 1M tokens

Explicit Cache Read

0.8

Per 1M tokens

Singapore

Scope: International

Billing Item Price (CNY) Unit

Input

10.492

Per 1M tokens

Output

32.974

Per 1M tokens

Input(Implicit Cache)

1.948

Per 1M tokens

Germany (Frankfurt)

Scope: Global

Input<=32k

Billing Item Price (CNY) Unit

Input

6

Per 1M tokens

Output

24

Per 1M tokens

Input(Implicit Cache)

1.2

Per 1M tokens

Explicit Cache Creation

7.5

Per 1M tokens

Explicit Cache Read

0.6

Per 1M tokens

32k<Input<=200k

Billing Item Price (CNY) Unit

Input

8

Per 1M tokens

Output

28

Per 1M tokens

Input(Implicit Cache)

1.6

Per 1M tokens

Explicit Cache Creation

10

Per 1M tokens

Explicit Cache Read

0.8

Per 1M tokens

US (Virginia)

Scope: Global

Input<=32k

Billing Item Price (CNY) Unit

Input

6

Per 1M tokens

Output

24

Per 1M tokens

Input(Implicit Cache)

1.2

Per 1M tokens

Explicit Cache Creation

7.5

Per 1M tokens

Explicit Cache Read

0.6

Per 1M tokens

32k<Input<=200k

Billing Item Price (CNY) Unit

Input

8

Per 1M tokens

Output

28

Per 1M tokens

Input(Implicit Cache)

1.6

Per 1M tokens

Explicit Cache Creation

10

Per 1M tokens

Explicit Cache Read

0.8

Per 1M tokens

Japan (Tokyo)

Scope: Global

Input<=32k

Billing Item Price (CNY) Unit

Input

6

Per 1M tokens

Output

24

Per 1M tokens

Input(Implicit Cache)

1.2

Per 1M tokens

Explicit Cache Creation

7.5

Per 1M tokens

Explicit Cache Read

0.6

Per 1M tokens

32k<Input<=200k

Billing Item Price (CNY) Unit

Input

8

Per 1M tokens

Output

28

Per 1M tokens

Input(Implicit Cache)

1.6

Per 1M tokens

Explicit Cache Creation

10

Per 1M tokens

Explicit Cache Read

0.8

Per 1M tokens

Rate Limits

China (Beijing)

Parameter Value

RPM (Requests Per Minute)

500

TPM (Tokens Per Minute)

1,000,000

Singapore

Scope: International

Parameter Value

RPM (Requests Per Minute)

500

TPM (Tokens Per Minute)

1,000,000

Germany (Frankfurt)

Scope: Global

Parameter Value

RPM (Requests Per Minute)

500

TPM (Tokens Per Minute)

1,000,000

US (Virginia)

Scope: Global

Parameter Value

RPM (Requests Per Minute)

500

TPM (Tokens Per Minute)

1,000,000

Japan (Tokyo)

Scope: Global

Parameter Value

RPM (Requests Per Minute)

500

TPM (Tokens Per Minute)

1,000,000