Z.ai
GLM-5.3-FlashX
Total Context
1M
Max Output
131.1K
Released
N/A
glm-5.3GLM-5.3 is Z.ai’s latest flagship model built for advanced coding, software engineering, and long-horizon agent tasks. With a 1M-token context window, up to 128K output tokens, strong reasoning, and tool-use capabilities, it is ideal for Coding Agents, complex development workflows, and multi-step automation.
Context Window
1M tokens
Maximum Output
128K tokens
Release Date
Aug 19, 2026
Modalities
| Input Price | Output Price | Cache Read |
|---|---|---|
| $1.1429/M | $4/M | $0.2857/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
GLM-5.3 focuses on complex coding, long-horizon agent tasks, cybersecurity analysis, and adjustable reasoning for demanding text-based engineering work.
Post-training improvements target complex coding and project-scale engineering tasks that require coordinated reasoning across many steps.
The model can retain a task objective while planning, executing, and revising work across extended agent workflows.
Its post-training develops capabilities for vulnerability discovery and analysis of later-stage exploitation tasks in authorized security work.
GLM-5.3 is suited to large software projects, long-running engineering agents, and authorized vulnerability research or code-security review.
Plan architectural changes, implement features across multiple files, run checks, and revise the solution from execution feedback.
Carry an engineering task from problem analysis through implementation and validation while managing multi-step dependencies.
Inspect source code for potential vulnerabilities, trace exploitability conditions, and prepare remediation guidance for authorized assessments.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Useful questions about using GLM-5.3 on TokenHub.
GLM-5.3 is Z.ai's flagship text model for complex software engineering and long-horizon agent tasks. It uses the same base model as GLM-5.2, with its improvements coming from post-training.
It is well suited to repository-scale coding, debugging, refactoring, terminal workflows, tool-using agents and other multi-step technical tasks that require sustained reasoning.
Its strengths include agentic coding, long-horizon execution, function calling, structured output, context caching and configurable reasoning effort. Z.ai also reports substantial gains in defensive vulnerability analysis.
GLM-5.3 accepts text input only and always uses reasoning. Higher reasoning effort can increase latency and token use. Review generated code and factual claims, and use its security capabilities only in authorized environments.
Choose the glm-5.3 model identifier in a TokenHub API request and use the endpoint and credentials provided by your TokenHub account. Start with a small request and confirm supported parameters before production use.
Z.ai lists GLM-5.3 API pricing at $1.40 per million input tokens and $4.40 per million output tokens, and offers it to GLM Coding Plan users. TokenHub pricing, quotas and regional availability may differ, so check the current model page before use.
Choose it when coding quality, tool use and long-running agent work are priorities. Consider a faster or cheaper model for simple requests, and choose a vision-capable model when the task requires image, screenshot or document understanding.
Use one API key to access GLM-5.3 and more AI models through TokenHub.
GLM-5.3 Media and Demos
Selected public announcements, discussions and videos about GLM-5.3.
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