GPT-6 Luna: API price, context window and how to connect

GPT-6 Luna by OpenAI: $0.1 per million input tokens, $0.5 per million output tokens, a 1.05M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

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In this article

In short#

The fast and inexpensive model of the GPT-6 line, one step below GPT-6 Sol. Built for high volume and tasks where response speed matters: chat, classification, light agents.

Specifications#

Provider OpenAI
Released 2026-09-22
Context window 1.05M tokens
Accepts files, images, text
Answers with text
Reasoning mode yes
Tool calling yes
Open weights no
Identifier openai/gpt-6-luna

Price#

Per 1M tokens In dollars
Input (question, context) $0.1
Output (answer) $0.5

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.009. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

What it is good for#

  • Chat and answering questions
  • Labeling and classifying text at volume
  • Simple agents and assistants

Similar models#

Catalog models with the same kind of output, closest in the price of a typical request.

Model Input Output Window Price
GPT-6 Luna Pro $0.1 $0.5 1.05M about the same
Claude Haiku 5.5 $0.1 $0.5 1M about the same
Qwen3.8 Flash $0.15 $0.47 1M about the same
Qwen3.8 Omni Flash $0.15 $0.47 1M about the same
Mistral Small 4 $0.15 $0.6 262K 1.3× more expensive

Other OpenAI models#

How to connect in SKILLOK#

GPT-6 Luna works through OpenRouter: add an OpenRouter key in Settings → AI and pick the openai/gpt-6-luna model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.

Where the data comes from#

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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