Z.ai

Open weights3 channels

glm-5.2

Name: glm-5.2
Author: Z.ai

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering

Starting at

Input

$1.0885/ 1M

~~$1.1429~~

Output

$3.8095/ 1M

~~$4.00~~

Open dashboard

Available from 3 channels

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

jd/glm-5.2

Lowest input

Input

$1.0885

Output

$3.8095

Cache read

$0.2721

Cache write

baidu/glm-5.2

Input

$1.3333

Output

$4.1905

Cache read

$0.2476

Cache write

z-ai/glm-5.2

Input

$1.40

Output

$4.40

Cache read

$0.26

Cache write

Endpoints

POST/v1/chat/completionsChat Completions

Call it

Using jd/glm-5.2

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="jd/glm-5.2",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: "jd/glm-5.2",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": "jd/glm-5.2",6    "messages": [{ "role": "user", "content": "Hello" }]7  }'

Prices and availability as published on Oct 4, 2026.

Capabilities

MCPPrompt cachingReasoningStructured outputTool use

Input

Text

Output

Text