GPT-6 Luna
The cheapest of the GPT-6 line, built for volume: a million-token window at ten cents a million. For classifying, extracting and summarising at scale rather than for hard reasoning.
The real OpenAI model
Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from OpenAI’s own page — check it.
Maker's own pagePrice
per 1M tokens
Input
Output
$0.10
$0.50
Long prompts
$0.20 / $0.75
Above 272,000 input tokens OpenAI charges more, for the whole request including its reply. We pass that through unchanged.
Context
1,050,000
up to 128,000 out
128,000 by default here
Modalities
Released
—
Knows up to May 18, 2026
What it would cost you
1000 tokens is roughly 750 English words.
Where this model runs
Similar models
Models built for the same kind of work, at a similar price.
We do not mark up the price of tokens. It is the same price the provider charges. We earn on the top-up fee.
Use it from your code
from openai import OpenAI
# Works with the official openai package (pip install openai)
client = OpenAI(
base_url="https://api.flintbeam.com/v1",
api_key="sk-live-your-api-key"
)
response = client.chat.completions.create(
model="openai/gpt-6-luna",
messages=[
{"role": "system", "content": "You are an experienced software engineer."},
{"role": "user", "content": "Describe the architecture of a distributed cache."}
],
temperature=0.7,
max_tokens=1500
)
print(response.choices[0].message.content)