GLM API · Ace Data Cloud

GLM API
Zhipu AI Full Range of Large Models

Integrate the full range of Zhipu AI GLM models through the OpenAI-compatible format. From the flagship GLM-5.3 to the ultra-low-cost GLM-4-Flash, covering reasoning, conversation, vision, and more.

📄 View Documentation 💰 View Pricing

🤖 12 Models 🧠 Deep Reasoning 🔌 OpenAI Compatible 🌐 Chinese-English Bilingual

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Model Versions

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GLM-5.3

Latest Flagship Model

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Low Price

Below Official Pricing

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∞

No Rate Limits

Why Use GLM Through Ace Data Cloud?

GLM is a full range of large language models launched by Zhipu AI. GLM-5.3 supports deep reasoning (Thinking), GLM-4.5v supports multimodal visual understanding, and GLM-4-Flash delivers high-speed inference at ultra-low cost—meeting the needs of every scenario, from flagship to budget models.

Ace Data Cloud provides a complete GLM API proxy service in an OpenAI-compatible format—no need to adapt to Zhipu's native API; call it directly with the OpenAI SDK. No regional restrictions, available globally.

Core Capabilities of the GLM API

Unlock the full potential of Zhipu AI GLM through an OpenAI-compatible interface

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OpenAI-Compatible Format

Call GLM through /v1/chat/completions, fully compatible with the OpenAI SDK. Seamless switching with zero code changes.

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Deep Reasoning (Thinking)

GLM-5.3 has built-in deep reasoning capabilities, allowing the model to think structurally before answering, greatly improving performance on math, programming, and logic tasks.

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Chinese-English Bilingual Optimization

Excellent native Chinese understanding, along with outstanding English performance. Ideal for Chinese-language scenarios, cross-language translation, and multilingual application development.

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Multimodal Vision

GLM-4.5v supports image understanding and can handle visual tasks such as image descriptions, OCR, and chart analysis, combining language understanding for multimodal interaction.

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Ultra-Low-Cost Flash Model

GLM-4-Flash delivers exceptional value, with input costing only $0.0011/1M tokens, making it suitable for high-concurrency and large-scale batch processing scenarios.

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Streaming

Supports SSE streaming with real-time token-by-token output. Set stream: true to get a streaming response experience.

Python

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.acedata.cloud/v1"
)
response = client.chat.completions.create(
    model="glm-4.7",
    messages=[
        {"role": "user", "content": "用 Python 实现一个快速排序算法"}
    ],
    stream=True
)
for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Response

{
  "id": "chatcmpl-glm-20250718120000",
  "object": "chat.completion",
  "created": 1752825600,
  "model": "glm-4.7",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "def quicksort(arr):\n    if len(arr) <= 1:\n        return arr\n    pivot = arr[len(arr) // 2]\n    left = [x for x in arr if x < pivot]\n    middle = [x for x in arr if x == pivot]\n    right = [x for x in arr if x > pivot]\n    return quicksort(left) + middle + quicksort(right)"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 85,
    "total_tokens": 97
  }
}

Switch with the OpenAI SDK in One Line of Code

Simply replace base_url and model to use GLM in your existing OpenAI project—no code refactoring required.

Get an API Key

Modify base_url

Set base_url to https://api.acedata.cloud/v1

Select a GLM Model

Set model to a GLM model name, such as glm-5.3 or glm-4.7

What Can You Build with the GLM API?

From Chinese NLP to multimodal vision—developers are building these applications with GLM

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Chinese Conversational Assistant

Build high-quality Chinese customer service, knowledge Q&A, and personal AI assistants, with native Chinese understanding far surpassing general-purpose models

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Code Generation and Review

The GLM-5 series excels on programming benchmarks, supporting code generation, bug fixes, code review, and architecture recommendations

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Multimodal Visual Understanding

GLM-4.5v supports image understanding, enabling visual AI applications such as OCR, chart analysis, and image descriptions

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Deep Reasoning and Analysis

Math problem solving, logical reasoning, and data analysis—GLM-5.3 Thinking mode provides deep reasoning capabilities

Get Started Quickly in 3 Steps

From registration to sending your first GLM message, it takes less than 3 minutes

Register and Get an API Key

Create a free account on Ace Data Cloud and generate your Bearer Token from the console.

Call Using the OpenAI SDK

Set base_url to Ace Data Cloud, choose any GLM model, and get started.

Integrate and Scale

Embed GLM into your application. The OpenAI-compatible format makes switching between models effortless.

View Documentation →

Why choose Ace Data Cloud instead of using the Zhipu API directly?

Comprehensive advantages in format compatibility, global availability, and a unified interface

Comparison Dimension	Ace Data Cloud	Zhipu Direct Connection
OpenAI-Compatible Format	✓	✗ Proprietary API Format
Global Availability	✓ Ready to Use	✗ Restricted in Some Regions
Streaming	✓	✓
Unified Multi-Model Interface	✓ GPT / Claude / Gemini / GLM	✗ GLM Only
Pay as You Go	✓ Flexible Top-Ups	✓
No Chinese Phone Number Required for Registration	✓	✗ Chinese Phone Number Required
Deep Reasoning Models	✓	✓

Choose the Right GLM Model

From flagship reasoning to ultra-low-cost Flash—GLM offers a wide range of model choices

Recommended

GLM-5.3

Deep Reasoning

The latest flagship model, designed for complex software engineering, code, and Agent tasks. Supports 1M context and up to 128K output.

✓ Reasoning always enabled
✓ 1M context window
✓ Up to 128K output
✓ Best choice for complex code and Agents

GLM-4.7

Balanced Choice

The best balance of performance and cost. Supports reasoning capabilities and is suitable for most general conversation and programming scenarios.

✓ Excellent value for money
✓ Excellent for general conversation
✓ Supports reasoning capabilities
✓ Suitable for production environments

GLM-4-Flash

Ultra-Low Cost

Extremely low cost, with input at just $0.001/1M tokens. Suitable for high-concurrency classification, extraction, and large-scale batch processing.

✓ Input $0.001/1M tokens
✓ Extremely fast response speed
✓ Suitable for large-scale batch tasks
✓ Classification/extraction/simple conversation

glm-5.3 glm-5.2 glm-5.1 glm-5-turbo glm-5 glm-4.7 glm-4.6 glm-4.5v glm-4.5 glm-3-turbo

GLM API Pricing

Pay based on Token usage. No subscription fees, no hidden costs.

Bulk packages offer greater discounts

Pay as You Go

Token Billing

Low Price Billed by Token

Billed based on actual Token usage, with separate pricing for input and output

✓ 12 GLM models available on demand
✓ GLM-4-Flash at an ultra-low price
✓ GLM-5.3 deep reasoning ready to use
✓ Input and output billed separately
✓ Streaming — Free

View Pricing Details View API Documentation

Enterprise

Custom

Dedicated solutions for high-volume teams

✓ Usage-based tiered discounts
✓ Priority support and account manager
✓ Custom rate limits
✓ SLA guarantee
✓ Private deployment solutions

Contact Sales

Frequently Asked Questions

Everything you need to know about using the GLM API

What is GLM? How is it different from other models? ▾

GLM is a family of large language models launched by Zhipu AI and developed by a technical team from Tsinghua University. GLM excels at native Chinese understanding while also delivering excellent English performance. GLM-5.3 is the current flagship and supports deep reasoning; GLM-4.5v supports multimodal vision; GLM-4-Flash provides ultra-low-cost, high-speed inference.

Does it support the OpenAI SDK? ▾

Yes! It is fully compatible with the OpenAI SDK (Python, Node.js, Go, etc.). Simply change base_url to https://api.acedata.cloud/v1 and set model to any GLM model name. Your existing OpenAI code can switch to GLM with almost no modifications.

What is the difference between GLM-5.3's deep reasoning and ordinary models? ▾

GLM-5.3 has built-in Thinking reasoning capabilities. The model reasons according to the complexity of the question before providing a final answer. This delivers stronger performance in mathematical proofs, complex logic, programming, and Agent tasks; reasoning Tokens are billed according to the output Token pricing rules.

Is GLM-4-Flash really that inexpensive? ▾

Yes! GLM-4-Flash costs only about $0.001/million tokens for input and about $0.0007/million tokens for output, making it one of the most cost-effective large language models on the market. It is ideal for high-concurrency scenarios such as classification, extraction, and simple conversations, and can significantly reduce AI application costs.

How does pricing work? ▾

Billing is based on Token usage, with input Tokens and output Tokens priced separately. Prices vary by model—from the ultra-low-cost GLM-4-Flash to the flagship GLM-5.3. There are no subscription fees or monthly fees; you pay only for what you use. Available immediately after top-up, and your balance never expires.

Can I use GPT, Claude, Gemini, and GLM at the same time? ▾

Yes! Ace Data Cloud provides multiple LLMs such as GPT, Claude, Gemini, and GLM through a unified OpenAI-compatible interface. Simply change the model parameter to switch between different models. The API format is fully consistent, so there is no need to maintain multiple codebases. The same API Key can access all models.

glm-5

Overview

Model facts

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