glm-4-32b

completions

byzai

glm-4-32b

completions

Published by: z-aiProvider:

zai

GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, online search, and code-related intelligent tasks. It is made by the same lab behind the thudm models.

Context

128K

Input

$0.1 / 1M tokens

Output

$0.1 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Context: 128K Input: $0.1 / 1M tokensOutput: $0.1 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access glm-4-32b through LangDB AI Gateway

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Integrate with z-ai's glm-4-32b and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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10,000+Monthly Requests

Performance Analytics for glm-4-32b

Usage Statistics (Last 1 Days):

Total Requests: 1 API calls
Average TPS: 60.20 tokens per second
Average Response Time: 1661.20ms
Average Time to First Token: 1395.60ms
Total Cost: $0.00
Average Request Cost: $0.0000

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/10/2025	1	60.20	1661.20ms	1395.60ms	$0.00

Performance Summary:

Model: glm-4-32b by zai

Monitoring Period: 9/4/2025 to 9/11/2025

Average Daily Requests: 1

Peak Daily Requests: 1

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

60.20 tokens/s

Code Examples

Integration samples and API usage

Code Samples for glm-4-32b

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-4-32b",
    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-4-32b",
    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-4-32b",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-4-32b

Provider: zai

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

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glm-4-32b by zai - AI Model Details, Pricing, and Performance Metrics

glm-4-32b

glm-4-32b

Access glm-4-32b through LangDB AI Gateway

Statistics

Code Examples

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