glm-4.5-air

completions

byzai

glm-4.5-air

completions

Published by: z-aiProvider:

zai

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction.

Context

131072

Input

$0.2 / 1M tokens

Output

$1.1 / 1M tokens

Cached

$0.03 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Context: 131072 Input: $0.2 / 1M tokensOutput: $1.1 / 1M tokensCached: $0.03 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access glm-4.5-air through LangDB AI Gateway

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Code Examples

Integration samples and API usage

Code Samples for glm-4.5-air

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="glm-4.5-air",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "glm-4.5-air",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.5-air",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-4.5-air

Provider: zai

API Endpoint: $https://api.us-east-1.langdb.ai

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Code Examples

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