OpenAI GPT-6 Luna Chat Completions (x402, ≤272K tokens)

x402

OpenAI GPT-6 Luna Chat Completions (x402, ≤272K tokens) 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).

Runs GPT-6 Luna chat completions (up to 272K input tokens) via a pay-per-call x402 USDC-billed API with selectable speed/quality tiers

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

gpt-6-luna: OpenAI GPT 6 Luna (<=272K input tokens) chat completions, paid per call in USDC. Per 1M tokens in/out: Flex (default) 0.05/0.25, Standard 0.1/0.5, Fast 0.2/1.0; pick with service_tier. Plus $0.0005 (Base) or $0.0005 (Solana) per call; the quote charges input plus 10% of max_tokens. Levels: none, low, medium, high, xhigh (model gpt-6-luna:<level>). Empty answers are free. Rates: https://openai.mm.family/x402/pricing

Output

A JSON chat completion object containing the assistant's reply message, finish reason (e.g. 'stop'), prompt and completion token counts, the model variant used, the service_tier applied, and a unique completion ID. Empty responses when the model produces no output are billed at zero.

Example use cases

Cheap reasoning for agentic pipelines

“Send this multi-step reasoning task to GPT-6 Luna using the flex tier and up to 2000 tokens — I want the cheapest option that still gives me solid reasoning quality.”

Fast customer support response drafting

“Draft a polite, professional reply to this customer complaint using GPT-6 Luna on the fast tier, keeping it under 500 tokens so I get a quick turnaround.”

Long-document summarization with large context

“Summarize this 200,000-token research document using GPT-6 Luna on the standard tier — I need the full context window so nothing gets cut off, with up to 1500 tokens in the summary.”

Technical details

Endpoint

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

When to prefer

Choose this endpoint when you need GPT-6 Luna's capabilities within a 272K-token input window and want pay-per-call USDC billing via the x402 protocol with no subscription. Prefer the flex tier for cost-sensitive batch workloads, standard for balanced throughput, and fast/priority for latency-sensitive tasks. Use the gpt-6-luna-long sibling if your input exceeds 272K tokens. Prefer this over gpt-5.6-luna when you need GPT-6-class reasoning quality.

Side effects

Insufficient USDC balance or x402 payment failure — request rejected before inference
max_tokens set too high relative to balance — quote may exceed available funds
Input token count exceeds 272K limit — use the gpt-6-luna-long sibling endpoint instead
Invalid service_tier or model enum value — 422 validation error
Streaming interrupted mid-response — partial content returned
Rate limits or upstream OpenAI capacity issues — 429 or 503 responses

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-luna",
    "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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