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x402engine GLM-5.3 LLM API
x402
x402engine GLM-5.3 LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.011035/call, status unknown (last checked 2026-10-16).
Send OpenAI-compatible chat messages to Z-AI's GLM-5.3 language model and receive generated text responses, paid per-call via USDC micropayment.
Price / call$0.011035
Success—
StatusUnknown
How this service works
x402engine — GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves
Output
An OpenAI-compatible JSON response containing the model name ('z-ai/glm-5.3'), a choices array with the assistant's message (role, content, and optional tool_calls), finish_reason, and a top-level 'content' shortcut field. Streaming mode returns SSE chunks instead.
Example use cases
Agentic reasoning on a budget
“I need to run a chain of thought reasoning task using GLM-5.3 — send it this system prompt: 'Think step by step' and the user message: 'What are three key risks of deploying AI in healthcare?' and stream back the response.”
Tool-calling with GLM-5.3
“Call GLM-5.3 with a tool definition for a weather lookup function, and pass the user message 'What's the weather in Tokyo right now?' — I want to see if it calls the tool correctly.”
Multilingual content generation
“Use GLM-5.3 to translate and rephrase this paragraph into formal Mandarin Chinese: 'Our quarterly earnings exceeded expectations due to strong consumer demand across all product lines.' Return just the translated text.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/glm-5.3?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to call GLM-5.3 specifically (Z-AI's flagship model) without a subscription, paying only per-call in USDC. It is ideal for AI agents that need on-demand LLM inference with crypto-native payments, or for users wanting to compare GLM-5.3's outputs alongside other models available on the same platform. Prefer it over OpenAI or Anthropic endpoints when you want a Chinese-developed frontier model or need pay-as-you-go crypto billing on Base, MegaETH, or Solana.
Side effects
- Payment not settled — HTTP 402 returned if micropayment header is missing or insufficient
- Invalid messages array — missing required 'role' or 'content'/'tool_calls' fields causes schema validation error
- Unsupported parameter — if a capability like logprobs or seed is not supported by GLM-5.3, it may be silently ignored or return an error (see /docs/llm-capabilities.md)
- Streaming misconfiguration — SSE stream only starts after payment settlement; network timeout before settlement causes failure
- Context length exceeded — very long message arrays may be rejected by the underlying model
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "z-ai/glm-5.3",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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