How much does Glm 5.2 cost?

Glm 5.2 is billed pay-as-you-go at $0.85 per 1M input tokens and $2.88 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Glm 5.2?

Glm 5.2 supports a context window of up to 1M tokens. It can return up to 262K tokens in a single response.

Glm 5.2 supports Tool calling, Reasoning, Prompt caching.

Is Glm 5.2 free to use?

Glm 5.2 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Glm 5.2 via the API?

Glm 5.2 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID glm-5.2 with your Api.Airforce API key.

Glm 5.2 is Zai's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

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Glm 5.2

API model name: glm-5.2

Glm 5.2 is Zai's chat model, served on the Api.Airforce unified API. It has a 1M-token context window. Capabilities include Tool calling, Reasoning, Prompt caching. It is priced at $0.85 per million input tokens and $2.88 per million output tokens. That is below the provider's $1.40 official input rate. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.85

Output / 1M tokens

$2.88

Official input rate

$1.40

Official output rate

$4.40

Api.Airforce price vs. the provider's official rate.

Specifications

Provider: Zai
Type: chat model
Context window: 1M tokens
Max output: 262K tokens
Input: text
Output: text
Prompt caching: Supported

Capabilities

Tool callingReasoningPrompt cachingStreaming

What is Glm 5.2 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.
Long-context tasks — process entire documents or codebases in a single prompt.
Real-time experiences — stream tokens for responsive chat and apps.

Glm 5.2 vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
Glm 5.2	—	1M	$0.85	$2.88
Glm 4.5	26.4	—	$0.70	$2.40
Glm 4.6	32.5	205K	$0.70	$2.40
Glm 4.7	42.1	205K	$0.70	$2.40

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

Glm 5.2 — frequently asked questions

How much does Glm 5.2 cost?: Glm 5.2 is billed pay-as-you-go at $0.85 per 1M input tokens and $2.88 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Glm 5.2?: Glm 5.2 supports a context window of up to 1M tokens. It can return up to 262K tokens in a single response.
What can Glm 5.2 do?: Glm 5.2 supports Tool calling, Reasoning, Prompt caching.
Is Glm 5.2 free to use?: Glm 5.2 is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Glm 5.2 via the API?: Glm 5.2 is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID glm-5.2 with your Api.Airforce API key.
Who makes Glm 5.2?: Glm 5.2 is Zai's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Glm 5.2 via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass glm-5.2 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-5.2",
    "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-5.2",
    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-5.2",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);