z-ai/glm-5.2
Veröffentlichungsdatum: 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.
Preise
Pay-per-Use
Keine Vorabkosten, zahlen Sie nur, was Sie nutzen
Modell ausprobieren
API-Nutzung
Verwenden Sie die folgenden Codebeispiele zur Integration mit unserer API:
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'z-ai/glm-5.2',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'z-ai/glm-5.2',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}Modelleinführung
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
Unterstützte Funktionen
API-Zugriffsanleitung
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.
Eingabe
$1.4 /M
Ausgabe
$4.4 /M
Kontext
1049K
Max. Ausgabe
262K
Tool-Nutzung
Unterstützt
GLM 5.2 auf WaveSpeedAI testen
Zugriff auf GLM 5.2 über unsere einheitliche API — OpenAI-kompatibel, keine Kaltstarts, transparente Preise.
Häufige Fragen zu GLM 5.2
Wie viel kostet die GLM 5.2-API?+
Preise auf WaveSpeedAI: $1.40 pro Million Input-Tokens und $4.40 pro Million Output-Tokens. Prompt-Caching und Batch-Verarbeitung werden separat berechnet und reduzieren die effektiven Kosten bei langen, sich wiederholenden Workloads.
Wie groß ist das Kontextfenster von GLM 5.2?+
GLM 5.2 unterstützt bis zu 1049K Kontext-Tokens und bis zu 262K Output-Tokens pro Anfrage.
Ist GLM 5.2 OpenAI-kompatibel?+
WaveSpeedAI stellt GLM 5.2 unter https://llm.wavespeed.ai/v1 über die OpenAI-kompatible Chat-Completions-Schnittstelle bereit. Bei den meisten OpenAI-SDK-Clients reichen Base-URL und API-Schlüssel; optionale Felder hängen vom Modell ab.
Wie starte ich mit GLM 5.2?+
Melden Sie sich bei WaveSpeedAI an, erstellen Sie unter Access Keys einen API-Schlüssel und senden Sie eine Anfrage mit der oben gezeigten Modell-ID an https://llm.wavespeed.ai/v1/chat/completions. Verfügbarkeit, Fähigkeiten und Preise finden Sie im aktuellen Modellkatalog.