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)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Japan (Tokyo)
Input<=32k
Input<=32k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.825 | Per 1M tokens |
Output | 3.301 | Per 1M tokens |
Input(Implicit Cache) | 0.165 | Per 1M tokens |
Explicit Cache Creation | 1.031 | Per 1M tokens |
Explicit Cache Read | 0.083 | Per 1M tokens |
32k<Input<=200k
32k<Input<=200k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 1.1 | Per 1M tokens |
Output | 3.851 | Per 1M tokens |
Input(Implicit Cache) | 0.22 | Per 1M tokens |
Explicit Cache Creation | 1.375 | Per 1M tokens |
Explicit Cache Read | 0.11 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Japan (Tokyo)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 500 |
TPM (Tokens Per Minute) | 1,000,000 |