OpenAI GPT-4o Mini Chat Completions (x402/USDC) is a paid API for AI agents from openai.mm.family, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-02).
Send a chat conversation to GPT-4o-mini and receive an AI-generated text response, billed per call in USDC via x402 micropayments.
gpt-4o-mini: OpenAI GPT 4o Mini chat completions, paid per call in USDC. Per 1M tokens in/out: Standard (default) 0.15/0.6, Fast 0.25/1.0; pick with service_tier. Plus $0.0005 (Base) or $0.0005 (Solana) per call; the quote charges input plus 10% of max_tokens. Empty answers are free. Rates: https://openai.mm.family/x402/pricing
Returns a JSON object containing the assistant's reply message, the finish reason (e.g. 'stop'), prompt and completion token counts, the model name ('gpt-4o-mini'), and the service_tier used. The choices array holds the generated text under choices[0].message.content.
POSThttps://openai.mm.family/x402/v1/models/gpt-4o-mini/chat/completions?utm_source=zero.xyzChoose GPT-4o-mini over GPT-4o when you need low-cost, high-throughput text generation and the task doesn't require advanced reasoning or long context. It is the best fit for classification, summarization, drafting, and extraction tasks where cost per call matters. Prefer this over the standard OpenAI API when you want to pay per call in USDC via x402 without a monthly subscription, or when building agentic pipelines that need autonomous micropayment-based LLM access.
| Field | Type | Description |
|---|---|---|
| model | string | |
| tools | array | |
| stream | boolean | |
| messages | array | |
| max_tokens | integer | |
| service_tier | string | |
| response_format | object | |
| reasoning_effort | string |
{
"type": "json",
"example": {
"id": "chatcmpl-x",
"model": "gpt-4o-mini",
"usage": {
"total_tokens": 9,
"prompt_tokens": 8,
"completion_tokens": 1
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello",
"refusal": null
},
"finish_reason": "stop"
}
],
"service_tier": "default"
}
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