z-ai/glm-5.2
Fecha de lanzamiento: 2026-06-17
1,048,576 context · $1.40/M input tokens · $4.40/M output tokens
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.
Precios
Pago por uso
Sin costos iniciales, paga solo por lo que uses
Probar el modelo
Uso de API
Usa los siguientes ejemplos de código para integrar con nuestra 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)Introducción del modelo
Z.ai: GLM 5.2
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/v1Endpoint
POST /chat/completionsModel ID
z-ai/glm-5.2Common 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
Información
Funcionalidades compatibles
Guía de acceso a la API
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.
Entrada
$1.4 /M
Salida
$4.4 /M
Contexto
1049K
Salida máx.
262K
Uso de herramientas
Compatible
Prueba GLM 5.2 en WaveSpeedAI
Accede a GLM 5.2 mediante nuestra API unificada — compatible con OpenAI, sin arranques en frío, precios transparentes.
Preguntas frecuentes sobre GLM 5.2
¿Cuánto cuesta GLM 5.2 a través de la API?+
Precios en WaveSpeedAI: $1.40 por millón de tokens de entrada y $4.40 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.
¿Cuál es la ventana de contexto de GLM 5.2?+
GLM 5.2 admite hasta 1049K tokens de contexto y hasta 262K tokens de salida por solicitud.
¿Es GLM 5.2 compatible con OpenAI?+
Sí. WaveSpeedAI expone GLM 5.2 a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.
¿Cómo empiezo con GLM 5.2?+
Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar GLM 5.2 antes de pagar por token.