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GPT-6 Luna: fiche technique, prix API et données

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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.

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.

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.

L’essentiel

Sur OpenAI GPT-6 Luna, la donnée qui compte vraiment est Fenêtre de contexte : 1.05M. Je l’ai relevé chez OpenAI – Models. Parmi les 21 que j’ai vérifiés, aucun ne fait mieux. L’autre chiffre à regarder est Coût par million de jetons en sortie : 0.5.

Les chiffres de OpenAI GPT-6 Luna

Je les ai classés par importance, avec la valeur et la position face aux autres que j’ai vérifiés.

Fenêtre de contexte : 1.05M. C’est la meilleure valeur parmi les 21 que j’ai comparés.

Coût par million de jetons en sortie : 0.5. C’est la meilleure valeur parmi les 21 que j’ai comparés.

Coût par million de jetons en entrée : 0.1. C’est la meilleure valeur parmi les 21 que j’ai comparés.

Appelle des outils et des fonctions : 1. C’est la meilleure valeur parmi les 12 que j’ai comparés.

Connaissances à jour jusqu’à : May 18, 2026. Position 5 sur les 9 que j’ai comparés.

Coût d’entrée en cache par 1M de tokens (USD) : 0.01. Position 18 sur les 20 que j’ai comparés.

Subject illustration: Illustration of an application (illustrative image, not a photo of the product)
À qui il s’adresse

Choisis-le si Fenêtre de contexte est ta priorité : 1.05M, et aucun de ceux que j’ai vérifiés ne fait mieux.

Il te convient si tu cherches Coût par million de jetons en sortie : 0.5.

Pour aller plus loin

Sources

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Reviews and tests

OpenAI GPT-6 Luna

Reviews and tests · OpenAI GPT-6 Luna

Reviews are not available yet.

What changed

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