GLM MCP
Call the Zhiyu GLM model in the AI Agent through MCP, covering multi-turn dialogue, context understanding, and long text processing scenarios.
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.
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.
Unlock the full potential of Zhipu AI GLM through an OpenAI-compatible interface
Call GLM through /v1/chat/completions, fully compatible with the OpenAI SDK. Seamless switching with zero code changes.
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.
Excellent native Chinese understanding, along with outstanding English performance. Ideal for Chinese-language scenarios, cross-language translation, and multilingual application development.
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.
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.
Supports SSE streaming with real-time token-by-token output. Set stream: true to get a streaming response experience.
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="")
{
"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
}
}
Simply replace base_url and model to use GLM in your existing OpenAI project—no code refactoring required.
Register with Ace Data Cloud and obtain a Bearer Token from the console
Set base_url to https://api.acedata.cloud/v1
Set model to a GLM model name, such as glm-5.3 or glm-4.7
From Chinese NLP to multimodal vision—developers are building these applications with GLM
Build high-quality Chinese customer service, knowledge Q&A, and personal AI assistants, with native Chinese understanding far surpassing general-purpose models
The GLM-5 series excels on programming benchmarks, supporting code generation, bug fixes, code review, and architecture recommendations
GLM-4.5v supports image understanding, enabling visual AI applications such as OCR, chart analysis, and image descriptions
Math problem solving, logical reasoning, and data analysis—GLM-5.3 Thinking mode provides deep reasoning capabilities
From registration to sending your first GLM message, it takes less than 3 minutes
Create a free account on Ace Data Cloud and generate your Bearer Token from the console.
Set base_url to Ace Data Cloud, choose any GLM model, and get started.
Embed GLM into your application. The OpenAI-compatible format makes switching between models effortless.
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 | ✓ | ✓ |
From flagship reasoning to ultra-low-cost Flash—GLM offers a wide range of model choices
The latest flagship model, designed for complex software engineering, code, and Agent tasks. Supports 1M context and up to 128K output.
The best balance of performance and cost. Supports reasoning capabilities and is suitable for most general conversation and programming scenarios.
Extremely low cost, with input at just $0.001/1M tokens. Suitable for high-concurrency classification, extraction, and large-scale batch processing.
Pay based on Token usage. No subscription fees, no hidden costs.
Bulk packages offer greater discounts
Billed based on actual Token usage, with separate pricing for input and output
Dedicated solutions for high-volume teams
Everything you need to know about using the GLM API
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.
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.
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.
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.
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.
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.
Explore our complete AI API suite, covering large language models, images, video, and music
Google Gemini full model lineup—million-token context and deep reasoning
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Moonshot AI Kimi K2 full lineup—trillion-parameter MoE reasoning models
Black Forest Labs' top-tier text-to-image models
Use Zhipu AI's full range of large models through an OpenAI-compatible format. Pay as you go—no subscription fees, no commitments.