Product
GPT-6.1 Sol: fiche technique, prix API et données
Updated
OpenAIAI Models & LLMs
- Context window
- 1.05M tokens
- Maximum output
- 128k tokens
- Input cost per 1M tokens
- $2.00
- Output cost per 1M tokens
- $10.00
- Knowledge cutoff
- April 2026
Data sheet · GPT-6.1 Sol
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
- $2.00Rank 11 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
- $0.10Rank 6 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
- $10.00Rank 11 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
- April 2026Rank 6 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-6.1 Sol
The same verified figures, next to those of the other catalogue models. Tap a model for the head-to-head.
Questions and answers
GPT-6.1 Sol: how much does it cost through the API?
The official list price is $2.00 per 1M input tokens and $10.00 per 1M output tokens.
GPT-6.1 Sol: 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-6.1 Sol: how recent is its knowledge?
Its knowledge reaches April 2026. For more recent facts it needs web search or your documents.
L’essentiel
Sur OpenAI GPT-6.1 Sol, 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 : 10.
Les chiffres de OpenAI GPT-6.1 Sol
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 : 10. Position 11 sur les 21 que j’ai comparés.
Coût par million de jetons en entrée : 2. Position 11 sur 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 : Apr 30, 2026. Position 6 sur les 9 que j’ai comparés.
Coût d’entrée en cache par 1M de tokens (USD) : 0.1. Position 12 sur les 20 que j’ai comparés.
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 Appelle des outils et des fonctions : 1.
Regarde ailleurs si ce qui compte pour toi est Coût par million de jetons en sortie : ici c’est 10, et 10 produits font mieux.
Pour aller plus loin
Sources
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Reviews and tests
OpenAI GPT-6.1 Sol
Reviews and tests · OpenAI GPT-6.1 Sol
Reviews are not available yet.
What changed
- Page updated
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