MCP / Models / Language models

GPT-6 Luna MCP: high-volume tasks with no API key

OpenAI GPT-6 Luna is the lowest-priced GPT-6 model for high-volume tasks, with image input, a 1.05M-token context and reasoning you can turn off. Run it from Claude Code, Codex, Cursor or any MCP client through one FlyMy.AI MCP, or call its API.

Use GPT-6 LunaInputs and price
No API key$0.10 / $0.50 per 1M tokensChat modelOpenAICommercial use
GPT-6 Luna sample from the FlyMy.AI catalog

$ YOUR NEXT RUN

Claude CodeCodexCursorAny agent

Use GPT-6 Luna in your assistant

Paste this prompt into Claude Code, Codex, Cursor or any agent. It reads the guide and helps you connect.

Read https://flymy.ai/skill.md and https://flymy.ai/mcp/models/gpt-6-luna.md. Help me connect the FlyMy.AI MCP to this assistant, then run GPT-6 Luna (flymyai/gpt-6-luna) for this task: Ask GPT-6 Luna: review this function for bugs and explain the fix.
Open FlyMy.AIDownload brief

What GPT-6 Luna does

Send a prompt, or a chat history in messages with images as image_url parts, and get a text answer of up to 128K tokens from a 1.05M-token context. reasoning_effort is none, low, medium, high, xhigh or max (medium by default); system_prompt and max_tokens work as usual, and private_mode keeps the prompt and answer out of FlyMy.AI storage. Your FlyMy.AI key also works on OpenAI's own Responses and Chat Completions APIs at the model's FlyMy.AI address, so the official OpenAI SDK runs once you change its base URL; on Chat Completions it calls function tools only with reasoning_effort none, the Responses API has no such limit. Billing follows the tokens OpenAI reports, at OpenAI's own price. Tools OpenAI runs itself, such as web search, are not offered.

Guide: LLM API: GPT, Claude and Gemini with One Key

GPT-6 Luna inputs

Every input of flymyai/gpt-6-luna as its live schema lists them. Returns output (string), finish_reason (string), stream_details (string).

InputType, values and default
# prompt
string required What to ask GPT-6 Luna
# messages
string optional Chat history as a JSON array of {role, content}; used instead of the prompt
# system_prompt
string optional Instructions for the whole chat
# reasoning_effort
string optional Allowed: none, low, medium, high, xhigh, max Default: medium How much effort GPT-6 Luna puts into the answer, reasoning included
# max_tokens
integer optional Allowed: 1 to 128000 Most tokens to generate, reasoning included
# private_mode
boolean optional Default: false Keep the prompt and the answer out of FlyMyAI storage and logs (synchronous requests only)

Ask your agent

Requests to paste as they are, once the FlyMy.AI MCP is connected.

“Ask GPT-6 Luna: review this function for bugs and explain the fix.”runs flymyai/gpt-6-luna
“Summarize this contract into five bullet points with GPT-6 Luna.”runs flymyai/gpt-6-luna
“With GPT-6 Luna, draft a friendly reply to this customer email.”runs flymyai/gpt-6-luna

GPT-6 Luna price

$0.10 per 1M input tokens, $0.50 per 1M output tokens, cached input $0.01 per 1M, cache writes $0.125 per 1M ($0.25 kept longer); a prompt over 272,000 tokens costs $0.20 / $0.75 per 1M. Cached input is $0.01 per 1M tokens. Billed to your FlyMy.AI balance; no seats, no subscription and no minimum.

See usage pricing →

Call GPT-6 Luna from code

The same model, from an agent or from your own code. Keys stay in your FlyMy.AI account.

From an agent, through the MCP

The agent calls get_model_schema, then run_model with:

{
  "endpoint_id": "flymyai/gpt-6-luna",
  "input": {
    "prompt": "Explain in two sentences what an MCP server is."
  }
}

From your code, over HTTP

Form fields, not JSON; files go as uploads or public URLs. Text models answer on the streaming route.

curl -X POST https://api.flymy.ai/api/v1/flymyai/gpt-6-luna/predict/stream/ \
  -H "X-API-KEY: $FLYMYAI_API_KEY" \
  -F 'prompt=Explain in two sentences what an MCP server is.'

With the OpenAI SDK

GPT-6 Luna also answers the OpenAI Chat Completions protocol.

from openai import OpenAI

client = OpenAI(base_url="https://api.flymy.ai/api/v1/flymyai/gpt-6-luna/openai/v1", api_key="YOUR_FLYMYAI_KEY")
reply = client.chat.completions.create(
    model="flymyai/gpt-6-luna",
    messages=[{"role": "user", "content": "Explain in two sentences what an MCP server is."}],
)
print(reply.choices[0].message.content)

Questions about GPT-6 Luna

Do I need a OpenAI API key for GPT-6 Luna?

No. GPT-6 Luna runs on FlyMy.AI's account, so you need no OpenAI key or plan: sign in to FlyMy.AI once and each run is billed to your FlyMy.AI balance.

How much does GPT-6 Luna cost?

$0.10 per 1M input tokens, $0.50 per 1M output tokens, cached input $0.01 per 1M, cache writes $0.125 per 1M ($0.25 kept longer); a prompt over 272,000 tokens costs $0.20 / $0.75 per 1M. There is no subscription or minimum; the price comes from FlyMy.AI billing and was checked on 2026-11-12.

How do I use GPT-6 Luna in Claude Code, Codex or Cursor?

Add the FlyMy.AI MCP with one command and sign in, then ask in plain words, for example: "Ask GPT-6 Luna: review this function for bugs and explain the fix." Your agent reads the inputs with get_model_schema and runs flymyai/gpt-6-luna with run_model.

What does GPT-6 Luna need as input?

GPT-6 Luna requires prompt; it also takes 5 optional inputs, each listed on this page with its allowed values and default.

Can I call GPT-6 Luna from my own code?

Yes. Send form fields to https://api.flymy.ai/api/v1/flymyai/gpt-6-luna/predict/stream/ with your FlyMy.AI API key in the X-API-KEY header; it also answers the OpenAI Chat Completions protocol at https://api.flymy.ai/api/v1/flymyai/gpt-6-luna/openai/v1.

Go to the source

GPT-6 Luna in the playground →GPT-6 Luna guide in the docs →Model endpoints in the docs →Every model on FlyMy.AI →Every MCP in the catalog →Usage pricing →

From the FlyMy.AI model catalog of 2026-11-12: inputs from the model's live schema, prices from FlyMy.AI billing. Requests are examples to paste, not recorded runs.