z-ai/glm-5.2
Data di rilascio: 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.
Prezzi
Pay-per-use
Nessun costo iniziale, paga solo per ciò che usi
Prova il modello
Utilizzo API
Usa i seguenti esempi di codice per integrare la nostra 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)Introduzione al modello
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
Info
Funzionalità supportate
Guida all'accesso 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.
Input
$1.4 /M
Output
$4.4 /M
Contesto
1049K
Output max
262K
Uso strumenti
Supportato
Prova GLM 5.2 su WaveSpeedAI
Accedi a GLM 5.2 tramite la nostra API unificata — compatibile con OpenAI, senza cold start, prezzi trasparenti.
Domande frequenti su GLM 5.2
Quanto costa GLM 5.2 via API?+
Prezzi su WaveSpeedAI: $1.40 per milione di token in input e $4.40 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.
Qual è la context window di GLM 5.2?+
GLM 5.2 supporta fino a 1049K token di contesto e fino a 262K token di output per richiesta.
GLM 5.2 è compatibile con OpenAI?+
Sì. WaveSpeedAI espone GLM 5.2 tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.
Come si inizia con GLM 5.2?+
Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare GLM 5.2.