Z.ai: GLM 5.2

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

API 사용법

다음 코드 예시를 사용해 API와 연동하세요:

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)

모델 소개

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.

GLM 5.2에 대해 자주 묻는 질문

GLM 5.2 API 비용은 얼마인가요?+

WaveSpeedAI 가격: 입력 토큰 100만 개당 $1.40, 출력 토큰 100만 개당 $4.40. 프롬프트 캐싱과 배치 처리는 별도로 청구되며 긴 반복 작업에서 실질 비용을 줄여 줍니다.

GLM 5.2의 컨텍스트 윈도우는 얼마나 되나요?+

GLM 5.2은 요청당 최대 1049K 컨텍스트 토큰과 최대 262K 출력 토큰을 지원합니다.

GLM 5.2은 OpenAI 호환인가요?+

네. WaveSpeedAI는 OpenAI 호환 엔드포인트 https://llm.wavespeed.ai/v1을 통해 GLM 5.2을 제공합니다. 공식 OpenAI SDK의 base URL을 이 주소로 변경하고 WaveSpeedAI API 키를 사용하면 코드 변경 없이 사용할 수 있습니다.

GLM 5.2을 어떻게 시작하나요?+

WaveSpeedAI에 로그인하고 Access Keys에서 API 키를 만든 다음, 위에 표시된 모델 ID로 https://llm.wavespeed.ai/v1/chat/completions에 요청을 보내세요. 신규 계정은 GLM 5.2을 평가할 수 있는 무료 크레딧을 받습니다.

가격

모델 사용해 보기