Technical Specifications of glm-4-5-air
| Attribute | Details |
|---|---|
| Model ID | glm-4-5-air |
| Provider | ZhipuAI |
| Model Type | Large language model |
| Primary Modalities | Text |
| Context Window | Varies by provider configuration |
| Max Output Tokens | Varies by provider configuration |
| Knowledge Cutoff | Not publicly standardized across all deployments |
| API Access | Available through CometAPI |
| Streaming Support | Supported depending on integration settings |
| Typical Use Cases | Chat, content generation, summarization, reasoning, coding assistance |
What is glm-4-5-air?
glm-4-5-air is CometAPI’s platform identifier for GLM-4.5-Air, an artificial intelligence model provided by ZhipuAI. It is designed to help developers build applications that require natural language understanding and generation, including conversational assistants, drafting tools, summarization workflows, and general productivity features.
As exposed through CometAPI, glm-4-5-air gives teams a standardized API interface for working with this model inside multi-model environments. This makes it easier to evaluate, deploy, and scale AI features without needing to manage provider-specific integration patterns separately.
Main features of glm-4-5-air
- Text generation: Produces natural-language responses for chat, drafting, rewriting, and general content creation tasks.
- Instruction following: Accepts structured prompts and user directives for assistant-style workflows and application logic.
- Reasoning support: Can assist with analysis, explanation, step-by-step problem solving, and task decomposition.
- Summarization and transformation: Useful for condensing, reorganizing, or rewriting existing content into new formats.
- Developer integration: Accessible through CometAPI using a consistent API pattern that simplifies adoption across products.
- Scalable application usage: Suitable for embedding into internal tools, customer-facing assistants, and automated pipelines.
How to access and integrate glm-4-5-air
Step 1: Sign Up for API Key
To get started, create a CometAPI account and generate your API key from the dashboard. This key is required to authenticate all requests. After obtaining your key, store it securely and avoid exposing it in client-side code or public repositories.
Step 2: Send Requests to glm-4-5-air API
Once you have your API key, send requests to the CometAPI chat completions endpoint and specify glm-4-5-air as the model. Example:
curl --request POST \
--url https://api.cometapi.com/v1/chat/completions \
--header "Authorization: Bearer $COMETAPI_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "glm-4-5-air",
"messages": [
{
"role": "user",
"content": "Write a short introduction to AI model APIs."
}
]
}'
Step 3: Retrieve and Verify Results
After submitting your request, CometAPI will return the model’s response in JSON format. Parse the returned payload, extract the generated content from the response object, and validate that the output matches your application’s requirements before using it in production workflows.