How much does Glm 4.5 Air cost?

Glm 4.5 Air is billed pay-as-you-go at $0.21 per 1M input tokens and $0.87 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Glm 4.5 Air?

Glm 4.5 Air supports a context window of up to 131K tokens. It can return up to 96K tokens in a single response.

What can Glm 4.5 Air do?

Glm 4.5 Air supports Tool calling, Reasoning, Prompt caching.

Is Glm 4.5 Air free to use?

Glm 4.5 Air is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Glm 4.5 Air via the API?

Glm 4.5 Air is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID glm-4.5-air with your Api.Airforce API key.

Who makes Glm 4.5 Air?

Glm 4.5 Air is Zhipu's chat model, served through the unified Api.Airforce gateway alongside 65+ other models.

ZhipuPaidOperational

Glm 4.5 Air

API model name: glm-4.5-air

Glm 4.5 Air is Zhipu's chat model, served on the Api.Airforce unified API. It has a 131K-token context window. Capabilities include Tool calling, Reasoning, Prompt caching. It is priced at $0.21 per million input tokens and $0.87 per million output tokens. Knowledge cutoff: 2024-12-31. Access it through the OpenAI-compatible API with one key, alongside 65+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.21

Output / 1M tokens

$0.87

Specifications

Provider: Zhipu
Type: chat model
Context window: 131K tokens
Max output: 96K tokens
Knowledge cutoff: 2024-12-31
Input: text
Output: text
Prompt caching: Supported

Capabilities

Tool callingReasoningPrompt cachingStreaming

What is Glm 4.5 Air used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Agents & automation — function calling and tool use for multi-step workflows.
Complex reasoning — math, coding and step-by-step problem solving.
Real-time experiences — stream tokens for responsive chat and apps.

Glm 4.5 Air vs. similar models

Model	Context	Input / 1M	Output / 1M
Glm 4.5 Air	131K	$0.21	$0.87
Glm 4	—	$0.06	$0.27
Deepseek R1	64K	$0.87	$3.42
Deepseek R1 250528	—	$0.87	$3.42

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

Glm 4.5 Air — frequently asked questions

How much does Glm 4.5 Air cost?: Glm 4.5 Air is billed pay-as-you-go at $0.21 per 1M input tokens and $0.87 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Glm 4.5 Air?: Glm 4.5 Air supports a context window of up to 131K tokens. It can return up to 96K tokens in a single response.
What can Glm 4.5 Air do?: Glm 4.5 Air supports Tool calling, Reasoning, Prompt caching.
Is Glm 4.5 Air free to use?: Glm 4.5 Air is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Glm 4.5 Air via the API?: Glm 4.5 Air is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID glm-4.5-air with your Api.Airforce API key.
Who makes Glm 4.5 Air?: Glm 4.5 Air is Zhipu's chat model, served through the unified Api.Airforce gateway alongside 65+ other models.

All models·Quickstart·Chat API reference

Use Glm 4.5 Air via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass glm-4.5-air as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.5-air",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="glm-4.5-air",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "glm-4.5-air",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);