GPT-6 Luna

Overview

OpenAI's most efficient GPT-6 tier for focused, high-volume workloads. It is billed from the same balance as every other model and tool here, and the price of each call comes back in the response.

Run GPT-6 Luna with an agent

Each guide pairs this model with a currently compatible agent, explains their separate roles, and opens the shared Composer with both selections ready.

• Hermes + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• Codex + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• OpenClaw + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• pi + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• DeepSeek Harness + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• Kimi Code + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• OpenCode + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

• MiniMax Code + GPT-6 Luna

  Compatibility, setup, current model facts, pricing boundaries, and a preselected Composer.

  Open guide

Prices in USD per million tokens, using your plan when signed in.

Each request uses the tier matching its full input context, including cached input. Output tokens do not choose the tier. Choose the row for your cache and thinking modes.

Your balance and per-call records come from /v1/credits and /v1/generation.

Use it

Point your client at the gateway and pass this model id. Nothing else changes.

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "openai/gpt-6-luna",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response

Questions

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