---
title: "Z.AI (Zhipu AI)"
url: "/docs/providers/zai"
canonical_url: "https://docs.litellm.ai/docs/providers/zai"
type: "docs"
last_updated: "2026-10-09"
related:
  - "/docs/providers/xinference"
  - "/docs/routing-load-balancing"
---
# Z.AI (Zhipu AI)

> Index of all LiteLLM docs: https://docs.litellm.ai/llms.txt

https://z.ai/

**We support Z.AI GLM text/chat models, just set `zai/` as a prefix when sending completion requests**

## API Key
```python
# env variable
os.environ['ZAI_API_KEY']
```

## Sample Usage
```python
from litellm import completion
import os

os.environ['ZAI_API_KEY'] = ""
response = completion(
    model="zai/glm-4.7",
    messages=[
       {"role": "user", "content": "hello from litellm"}
   ],
)
print(response)
```

## Sample Usage - Streaming
```python
from litellm import completion
import os

os.environ['ZAI_API_KEY'] = ""
response = completion(
    model="zai/glm-4.7",
    messages=[
       {"role": "user", "content": "hello from litellm"}
   ],
    stream=True
)

for chunk in response:
    print(chunk)
```

## Supported Models

We support ALL Z.AI GLM models, just set `zai/` as a prefix when sending completion requests.

| Model Name | Function Call | Notes |
|------------|---------------|-------|
| glm-4.7 | `completion(model="zai/glm-4.7", messages)` | **Latest flagship**, 200K context, **Reasoning** |
| glm-4.6 | `completion(model="zai/glm-4.6", messages)` | 200K context |
| glm-4.5 | `completion(model="zai/glm-4.5", messages)` | 128K context |
| glm-4.5v | `completion(model="zai/glm-4.5v", messages)` | Vision model |
| glm-4.5-x | `completion(model="zai/glm-4.5-x", messages)` | Premium tier |
| glm-4.5-air | `completion(model="zai/glm-4.5-air", messages)` | Lightweight |
| glm-4.5-airx | `completion(model="zai/glm-4.5-airx", messages)` | Fast lightweight |
| glm-4-32b-0414-128k | `completion(model="zai/glm-4-32b-0414-128k", messages)` | 32B parameter model |
| glm-4.5-flash | `completion(model="zai/glm-4.5-flash", messages)` | **FREE tier** |

## Model Pricing

| Model | Input ($/1M tokens) | Output ($/1M tokens) | Cached Input ($/1M tokens) | Context Window |
|-------|---------------------|----------------------|---------------------------|----------------|
| glm-4.7 | $0.60 | $2.20 | $0.11 | 200K |
| glm-4.6 | $0.60 | $2.20 | - | 200K |
| glm-4.5 | $0.60 | $2.20 | - | 128K |
| glm-4.5v | $0.60 | $1.80 | - | 128K |
| glm-4.5-x | $2.20 | $8.90 | - | 128K |
| glm-4.5-air | $0.20 | $1.10 | - | 128K |
| glm-4.5-airx | $1.10 | $4.50 | - | 128K |
| glm-4-32b-0414-128k | $0.10 | $0.10 | - | 128K |
| glm-4.5-flash | **FREE** | **FREE** | - | 128K |

## Using with LiteLLM Proxy

**SDK**

```python
from litellm import completion
import os

os.environ['ZAI_API_KEY'] = ""
response = completion(
    model="zai/glm-4.7",
    messages=[{"role": "user", "content": "Hello, how are you?"}],
)

print(response.choices[0].message.content)
```

**PROXY**

1. Setup config.yaml

```yaml
model_list:
  - model_name: glm-4.7
    litellm_params:
        model: zai/glm-4.7
        api_key: os.environ/ZAI_API_KEY
  - model_name: glm-4.5-flash  # Free tier
    litellm_params:
        model: zai/glm-4.5-flash
        api_key: os.environ/ZAI_API_KEY
```

2. Run proxy

```bash
litellm --config config.yaml
```

3. Test it!

```bash
curl -L -X POST 'http://0.0.0.0:4000/v1/chat/completions' \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-d '{
    "model": "glm-4.7",
    "messages": [
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ]
}'
```

## Related pages

- [Xinference [Xorbits Inference]](https://docs.litellm.ai/docs/providers/xinference.md)
- [Routing & Load Balancing](https://docs.litellm.ai/docs/routing-load-balancing.md)