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GPT-6 Luna: Datenblatt, API-Preise und Daten

Updated

OpenAI gpt-6-luna — drawn card, not a photograph of the product

OpenAIAI Models & LLMs

Context window
1.05M tokens
Maximum output
128k tokens
Input cost per 1M tokens
$0.10
Output cost per 1M tokens
$0.50
Knowledge cutoff
May 2026

You use it and pay per use through the vendor's API, per million tokens: there is no shop. The list prices are in the data sheet below.

Official page: developers.openai.com ↗

Data sheet · GPT-6 Luna

Every figure is quoted from the vendor's official page, with the date we read it. If a row is missing, the source does not state it and we do not estimate it.

Memory and answer length

Context window
1.05M tokensRank 1 of 21
What it means and the source

How much text the model keeps in view in a single request, question and answer included. It matters for long documents and whole code projects. A token is a fragment of a word.

developers.openai.comOpens the source in a new tab Oct 23, 2026
Maximum output
128k tokensRank 3 of 16
What it means and the source

The longest answer it can write in one go: useful for reports, long code or translations of whole documents.

developers.openai.comOpens the source in a new tab Oct 23, 2026

API prices

Input cost per 1M tokens
$0.10Rank 1 of 21
What it means and the source

What it costs to have the model read a million tokens (your question, the documents, the code). It is the official list price, before discounts.

developers.openai.comOpens the source in a new tab Oct 23, 2026
Cached input cost per 1M tokens
$0.01Rank 2 of 20
What it means and the source

The reduced price when part of the request is identical to one sent recently, for example the same instructions or the same document: the vendor keeps it in memory and charges less for it.

developers.openai.comOpens the source in a new tab Oct 23, 2026
Output cost per 1M tokens
$0.50Rank 1 of 21
What it means and the source

What a million tokens written by the model cost. It usually costs more than the input and is the figure to watch when answers are long.

developers.openai.comOpens the source in a new tab Oct 23, 2026

Knowledge and abilities

Knowledge cutoff
May 2026Rank 5 of 9
What it means and the source

The month up to which the model's knowledge reaches. For more recent facts it needs web search or your documents.

developers.openai.comOpens the source in a new tab Oct 23, 2026
Reads images
Yes13 models out of 23
What it means and the source

The model can take images (photos, screenshots, charts) as well as text.

developers.openai.comOpens the source in a new tab Oct 23, 2026
Calls tools and functions
Yes12 models out of 23
What it means and the source

The model can call functions and tools (search, calculations, other applications) to take actions and not only write text: it matters for assistants and agents.

developers.openai.comOpens the source in a new tab Oct 23, 2026

Where it stands · GPT-6 Luna

The same verified figures, next to those of the other catalogue models. Tap a model for the head-to-head.

Context windowRank 1 of 21 · higher is better
  1. 1GPT-6 Luna1.05M tokens
  2. 1GPT-5.6 Sol1.05M tokens
  3. 1GPT-6 Astra1.05M tokens
  4. 1GPT-6.1 Sol1.05M tokens
  5. 5Gemini 3.8 Flash1,048,576 tokens
  6. 5Gemini 4 Argon1,048,576 tokens
Maximum outputRank 3 of 16 · higher is better
  1. 1DeepSeek V4 Pro384k tokens
  2. 1DeepSeek V4.1 Flash384k tokens
  3. 3GPT-6 Luna128k tokens
  4. 3Claude Fable 5.1128k tokens
  5. 3Claude Haiku 5.5128k tokens
  6. 3Claude Opus 5.5128k tokens
Input cost per 1M tokensRank 1 of 21 · lower is better
  1. 1GPT-6 Luna$0.10
  2. 1Claude Haiku 5.5$0.10
  3. 3DeepSeek V4.1 Flash$0.30
  4. 4GLM-4.6$0.60
  5. 5Gemini 3.8 Flash$0.75
  6. 6Claude Haiku 4.5$1.00
Output cost per 1M tokensRank 1 of 21 · lower is better
  1. 1GPT-6 Luna$0.50
  2. 1Claude Haiku 5.5$0.50
  3. 3DeepSeek V4.1 Flash$1.20
  4. 4GLM-4.6$2.20
  5. 5GLM-5$3.20
  6. 6Gemini 3.8 Flash$3.75

Questions and answers

GPT-6 Luna: how much does it cost through the API?

The official list price is $0.10 per 1M input tokens and $0.50 per 1M output tokens.

GPT-6 Luna: how much text can it read at once?

The context window is 1.05M tokens. It can write answers of up to 128k tokens.

GPT-6 Luna: how recent is its knowledge?

Its knowledge reaches May 2026. For more recent facts it needs web search or your documents.

Kurz gefasst

Bei OpenAI GPT-6 Luna ist Kontextfenster der Wert, auf den es ankommt: 1.05M. Ich habe sie von OpenAI – Models übernommen. Unter den 21, die ich geprüft habe, ist keines besser. Die andere Zahl, auf die es ankommt, ist Kosten pro 1 Mio. Ausgabe-Token: 0.5.

Die Zahlen zu OpenAI GPT-6 Luna

Ich habe sie nach Gewicht geordnet, mit dem Wert und dem Platz unter den anderen, die ich geprüft habe.

Kontextfenster: 1.05M. Das ist der beste Wert unter den 21, die ich verglichen habe.

Kosten pro 1 Mio. Ausgabe-Token: 0.5. Das ist der beste Wert unter den 21, die ich verglichen habe.

Kosten pro 1 Mio. Eingabe-Token: 0.1. Das ist der beste Wert unter den 21, die ich verglichen habe.

Kosten für Cache-Eingabe pro 1 Mio. Token (USD): 0.01. Platz 18 von 20, die ich verglichen habe.

Liest Bilder: 1. Das ist der beste Wert unter den 13, die ich verglichen habe.

Maximale Antwort (k Token): 128K tokens. Platz 3 von 16, die ich verglichen habe.

Subject illustration: Illustration of an application (illustrative image, not a photo of the product)
Für wen es sich lohnt

Nimm es, wenn Kontextfenster für dich Vorrang hat: 1.05M — keines der geprüften Modelle ist besser.

Es passt, wenn du Kosten pro 1 Mio. Ausgabe-Token suchst: 0.5.

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OpenAI GPT-6 Luna

Reviews and tests · OpenAI GPT-6 Luna

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