Z.ai: GLM 5.2

Name: GLM 5.2 API
Brand: z-ai
Price: 1.4 USD
Availability: InStock

API 使用

使用以下程式碼範例整合我們的 API：

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="z-ai/glm-5.2",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

模型介紹

GLM 5.2 is Z.ai’s latest large-scale reasoning model, designed for long-context understanding, advanced coding, and complex agent workflows. With support for a 1M-token context window and configurable reasoning levels, it can maintain project-scale context across extended interactions, making it well-suited for software engineering, research, automation, and multi-step problem solving.

The model supports both High and XHigh reasoning modes, with XHigh enabling its maximum reasoning capability. GLM 5.2 excels at code generation, tool use, structured outputs, and long-horizon task execution, allowing developers to build sophisticated AI agents and automation systems that operate reliably over large amounts of context.

This model is available through the WaveSpeed AI OpenAI-compatible API and can be integrated into existing applications with minimal changes.

Why Choose GLM 5.2

Massive 1M-token context window for large documents, repositories, and long-running workflows
Strong reasoning performance for coding, planning, and complex multi-step tasks
Optimized for agentic applications with function calling and tool-use support
Structured output generation for JSON-based workflows and schema-constrained responses
Flexible reasoning controls for balancing speed, cost, and reasoning depth
Competitive pricing for large-context production workloads

Key Features

Context Window: 1,048,576 tokens
Max Input: 786,432 tokens
Max Output: 262,144 tokens
Architecture: Text → Text
Function Calling: Supported
Structured Outputs: Supported
Reasoning Controls: Supported
Vision: Not listed
Audio Input: Not listed
Image Generation: Not listed

Specifications

Specification	Value
Provider	chatglm
Model Type	Chat Completions
Architecture	Text → Text
Context Window	1,048,576 tokens
Max Input	786,432 tokens
Max Output	262,144 tokens
Input	Text
Output	Text
Function Calling	Supported
Structured Outputs	Supported

API Integration

Base URL

https://llm.wavespeed.ai/v1

Endpoint

POST /chat/completions

Model ID

z-ai/glm-5.2

Common Use Cases

AI coding assistants
Software engineering agents
Large-scale codebase analysis
Research and document intelligence
Workflow automation
Multi-agent systems
Structured data extraction
Long-context reasoning applications

Notes

Model ID: z-ai/glm-5.2
Provider: chatglm

GLM 5.2 API

z-ai/glm-5.2

GLM 5.2 is Z.ai’s most advanced reasoning model, built for long-context, agentic, and engineering-intensive workloads. With support for a 1M-token context window and configurable High/XHigh reasoning modes, it delivers state-of-the-art performance in coding, tool use, and complex task execution.From requirements gathering and architecture design to implementation, testing, and multi-platform deployment, GLM 5.2 can maintain project-level context and consistently follow engineering best practices throughout the entire software development lifecycle.

關於 GLM 5.2 的常見問題

GLM 5.2 API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $1.40,輸出每百萬 token $4.40。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。

GLM 5.2 的上下文視窗有多大?+

GLM 5.2 每次請求最多支援 1049K 上下文 token,輸出最多 262K token。

GLM 5.2 是否相容 OpenAI?+

是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 GLM 5.2。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。

如何開始使用 GLM 5.2?+

登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 GLM 5.2。

定價

試用模型