Using GPT-6 Luna Decisions on OpenAI API

Implementation guide · GPT-6 · OpenAI

Serverless

OpenAI API exposes GPT-6 Luna Decisions through model ID gpt-6-luna. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-07. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call gpt-6-luna — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, Free/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-6-luna

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="gpt-6-luna",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$0.10
Output tokensFree
Image input$1.00

Capabilities

VisionMultimodalReasoningStructured Outputs

About GPT-6 Luna Decisions

GPT-6 Luna Decisions is OpenAI's Decisions API surface (public beta) powered by GPT-6 Luna. Applications send shared text and/or image input plus typed questions (predicate / choice / score) to POST /v1/decisions and receive calibrated probabilities, choices with confidence, or rubric scores — about 10× faster than Luna via the Responses API per OpenAI docs. First-party model field is still gpt-6-luna (not a separate OpenAI model id). Billing is input tokens only at $0.10 per 1M tokens; no cache-read, cache-write, or output-token charges. Regional processing premiums and long-context input multipliers apply. Vercel AI Gateway exposes the same surface as openai/gpt-6-luna-decisions.

Model Specs

Released2026-10-06
Context1.05m
Knowledge cutoff2026-05

Provider

OpenAI API

OpenAI

San Francisco, California, United States