OpenAI GPT-6 Sol Chat Completions (x402/USDC)

x402

OpenAI GPT-6 Sol 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 2026-10-03).

Provides OpenAI GPT-6 Sol chat completions (up to 272K input tokens) via a pay-per-call API priced in USDC using the x402 payment protocol

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

gpt-6-sol: OpenAI GPT 6 Sol (<=272K input tokens) chat completions, paid per call in USDC. Per 1M tokens in/out: Flex (default) 1.0/5.0, Standard 2.0/10.0, Fast 4.0/20.0; pick with service_tier. Plus $0.0005 (Base) or $0.0005 (Solana) per call; the quote charges input plus 10% of max_tokens. Levels: none, low, medium, high, xhigh (model gpt-6-sol:<level>). Empty answers are free. Rates: https://openai.mm.family/x402/pricing

Output

Returns a JSON object containing the assistant's reply message, finish reason (e.g. 'stop'), token usage breakdown (prompt, completion, total), model name, service tier used, and a unique completion ID. Empty completions (e.g. refused or zero-length answers) are billed at $0.

Example use cases

AI agent backbone with crypto billing

“Run my agent loop using GPT-6 Sol on the flex tier — here's the conversation so far: system prompt is 'You are a senior software engineer', and the user just asked 'How do I reverse a linked list in Python?' Allow up to 500 tokens in the response.”

High-reasoning legal document analysis

“I need GPT-6 Sol at the xhigh reasoning level to analyze this legal clause and identify any ambiguities: 'The party of the first part agrees to indemnify...' — keep the response under 1000 tokens and use the standard service tier.”

Structured JSON extraction from unstructured text

“Use GPT-6 Sol to extract structured data from this customer feedback — set response_format to JSON and pull out sentiment, key topics, and urgency level from: 'The delivery was three days late and the packaging was damaged, I'm really frustrated.' Use fast tier and cap at 200 tokens.”

Technical details

Endpoint

POSThttps://openai.mm.family/x402/v1/models/gpt-6-sol/chat/completions?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need GPT-6 Sol specifically (OpenAI's high-capability model at up to 272K context) and want to pay per call in USDC via the x402 micropayment protocol — ideal for agents that need crypto-native billing without a monthly subscription. Prefer the flex tier for cost sensitivity, standard for balanced throughput, or fast tier for latency-critical paths. Use gpt-6-sol:<level> variants when you need explicit reasoning effort control. If you need more than 272K context, look at a '-long' sibling endpoint instead.

Side effects

Insufficient USDC balance or x402 payment failure — returns 402 Payment Required
Exceeding 272K input token context window — returns 400 Bad Request
Invalid model variant string — returns 400 with enum validation error
max_tokens set too high causing over-quota charge — quote is input tokens + 10% of max_tokens
Stream mode errors if downstream connection drops mid-stream
Rate limiting at the proxy layer if request volume spikes
Invalid messages array format (missing role or content fields) — returns 422

Input

Schema · Request body

Field	Type	Description
model	string
tools	array
stream	boolean
messages	array
max_tokens	integer
service_tier	string
response_format	object
reasoning_effort	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-x",
    "model": "gpt-6-sol",
    "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": "flex"
  }
}

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