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AgentRXI GLM-5.3 Flash Chat Completions
x402
AgentRXI GLM-5.3 Flash Chat Completions is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.005081/call, status unknown (last checked 2026-10-15).
OpenAI-compatible chat completions powered by Zhipu GLM-5.3 Flash with 1M-token context, tool calling, and pay-per-token x402 billing
Price / call$0.005081
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on Zhipu GLM-5.3 Flash, inexpensive reasoning with tool calling and a 1M-token context. Set your OpenAI SDK base URL to https://agentrxi.com/v1/glm5-flash and pay per token with x402 instead of an API key: $0.45 per million input and $1.5 per million output tokens, minimum $0.002 a call, at most $0.0401. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling,
Output
Returns an OpenAI-compatible chat.completion JSON object containing the assistant's message content, role, finish reason, and token usage breakdown (prompt tokens, completion tokens, total tokens), along with a model identifier and completion ID.
Example use cases
One-off reasoning without a subscription
“Use the GLM Flash model to reason through this logic puzzle for me: 'If all bloops are razzies, and all razzies are lazzies, are all bloops definitely lazzies?' — keep it under 200 tokens.”
Tool-calling agent with pay-per-use billing
“I need a cheap LLM that supports tool calling and doesn't require a monthly API key — use GLM-5.3 Flash to answer 'What is the current weather in Paris?' and call the get_weather tool if available.”
Long-document summarization with huge context
“Summarize this 200,000-word legal document using the GLM Flash model — I need a concise 3-paragraph summary and the model needs to handle the full text in one shot.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/glm5-flash/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need inexpensive, OpenAI-compatible LLM inference without committing to a monthly subscription — especially for sporadic or one-off agent calls billed per token. It is ideal when you need a very large (1M token) context window, tool calling support, or want to avoid managing API keys by paying via x402 micropayments. Prefer it over GPT-4 or Claude when cost minimization matters and the task doesn't require frontier-model quality.
Side effects
- Insufficient x402 payment balance causes 402 Payment Required before inference runs
- Prompt exceeds 1M token context window returns a context-length error
- Invalid or malformed prompt parameter returns a 400 Bad Request
- Model unavailability or upstream Zhipu API outage returns a 503
- Temperature or max_tokens out of acceptable range may be silently clamped or cause a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "glm-5.3-flash",
"usage": {
"total_tokens": 18,
"prompt_tokens": 14,
"completion_tokens": 4
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Bonjour !"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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