glm-4.5-air

Name: glm-4.5-air
Author: Z.ai

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 wit

Starting at

Input

$0.20/ 1M

Output

$1.10/ 1M

Open dashboard

Channel

Each channel is compared at its lowest input-price tier; output breaks ties. A dash means /api/pricing does not provide that rate. Selecting a channel updates the endpoints and call example below.

ChannelUSD per 1M tokensInputOutputCache readCache write

z-ai/glm-4.5-air

Input

$0.20

Output

$1.10

Cache read

$0.03

Cache write

Endpoints

POST/v1/chat/completionsChat Completions

Call it

Using z-ai/glm-4.5-air

1from openai import OpenAI23client = OpenAI(4    base_url="https://www.realrelay.ai/v1",5    api_key="sk-***",6)78response = client.chat.completions.create(9    model="z-ai/glm-4.5-air",10    messages=[{"role": "user", "content": "Hello"}],11)1213print(response.choices[0].message.content)

1import OpenAI from "openai";23const client = new OpenAI({4  baseURL: "https://www.realrelay.ai/v1",5  apiKey: process.env.REALRELAY_API_KEY,6});78const response = await client.chat.completions.create({9  model: "z-ai/glm-4.5-air",10  messages: [{ role: "user", content: "Hello" }],11});1213console.log(response.choices[0].message.content);

1curl https://www.realrelay.ai/v1/chat/completions \2  -H "Authorization: Bearer $REALRELAY_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "model": "z-ai/glm-4.5-air",6    "messages": [{ "role": "user", "content": "Hello" }]7  }'

Prices and availability as published on Oct 4, 2026.

Capabilities

ReasoningTool use

Input

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Output

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