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GPT (Generative Pre-trained Transformer)

GPT is OpenAI's family of generative pre-trained transformer models behind ChatGPT. The current generation, GPT-6, comes in Astra, Sol and Luna tiers.
Updated October 15, 2026
AI

Definition

GPT (Generative Pre-trained Transformer) is OpenAI's family of large language models, and the models behind ChatGPT. The name describes the method: a transformer network is pre-trained on a large body of text to predict the next token, then tuned to follow instructions and generate new text.

The lineage runs from GPT-1 (2018, 117 million parameters) through GPT-2 (2019, 1.5 billion), GPT-3 (2020, 175 billion, which introduced few-shot prompting and OpenAI's API business), GPT-3.5 (the model behind ChatGPT's launch in November 2022), GPT-4 (March 2023) and GPT-4o (May 2024). OpenAI then ran a separate o-series of reasoning models before folding reasoning back into the main line with GPT-5 in August 2025. Point releases followed through 2026, including GPT-5.4 in March, GPT-5.5 in April and the GPT-5.6 family in July.

The current generation is GPT-6, released in three tiers:

  • GPT-6 Astra (September 3, 2026): the most capable and most expensive tier, aimed at long, end-to-end work such as coding, research and computer use. Knowledge cutoff April 30, 2026.
  • GPT-6 Sol (September 22, 2026, with GPT-6.1 Sol on September 29): the general-purpose tier for complex coding and agentic workflows. Knowledge cutoff April 20, 2026.
  • GPT-6 Luna (September 22, 2026): the low-cost tier for high-volume tasks, priced at $0.10 per million input tokens. Knowledge cutoff May 18, 2026.

All three are reasoning models with adjustable effort levels, accept text and images, and offer a context window of about 1.05 million tokens, according to OpenAI's model documentation. On October 7, 2026 OpenAI brought GPT-6 to everyone in ChatGPT, with Sol serving paid plans and Luna serving Free and Go users, and said ChatGPT had more than 1.2 billion weekly users. The same launch added Intelligent UI, which lets answers include interactive charts, maps and tools.

GPT models reach users through two channels that matter for GEO. The first is training: what the model learned before its knowledge cutoff, gathered partly by OpenAI's GPTBot crawler. The second is live retrieval, when ChatGPT searches the web through OAI-SearchBot and cites the pages it reads. OpenAI says GPT-6 makes better decisions about when to search and starts answering web-search questions 44% sooner than GPT-5.6 Instant. Recent cutoffs (April and May 2026) mean the models know more of the recent web without searching, but anything newer, and any page OpenAI's crawlers cannot reach, is visible only through retrieval.

GPT models also power thousands of third-party products through the OpenAI API. Each integration may or may not enable web search, so the same brand can be described from training data in one product and from fresh search results in another. Practical GEO work covers both: keep authoritative, consistent facts about your brand published widely enough to be learned, keep key pages crawlable for OAI-SearchBot, and track ChatGPT answers after each model change, since a new GPT version can shift which sources get cited.

Examples of GPT (Generative Pre-trained Transformer)

  • After ChatGPT switched its paid chat model from GPT-5.6 Sol to GPT-6 Sol on October 7, 2026, a SaaS brand reruns its tracked prompts and sees its pricing page cited in 9 of 40 answers instead of 4.
  • A support platform routes ticket classification to GPT-6 Luna at $0.10 per million input tokens and escalates only multi-step refund cases to GPT-6 Sol.
  • A product launched in June 2026 is unknown to GPT-6 Sol without search, because its knowledge cutoff is April 20, 2026; the company focuses on getting its launch pages crawled by OAI-SearchBot.
  • An engineering team migrating off the retired o3-deep-research API model in July 2026 moves its research pipeline to GPT-5.6 Sol, as OpenAI's deprecation notice recommends.

Terms related to GPT (Generative Pre-trained Transformer)

ChatGPT

ChatGPT is OpenAI's AI assistant, used by 1.2 billion people a week as of September 2026, and the largest single surface for AI search and GEO visibility.

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OpenAI

OpenAI is the AI company behind ChatGPT, Codex and the GPT-6 models. It said in September 2026 that ChatGPT had 1.2 billion weekly users.

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Large Language Model (LLM)

A large language model (LLM) is a neural network trained on vast text to predict tokens. LLMs such as GPT-6, Claude and Gemini power AI search and assistants.

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Transformer Architecture

Transformer architecture is the neural network design behind modern LLMs. It uses self-attention to weigh how every token in a sequence relates to every other.

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Reasoning Models

Reasoning models are LLMs that work through a problem in internal steps before answering. In 2026 most frontier models expose this as a thinking setting.

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Knowledge Cutoff

A knowledge cutoff is the date after which an AI model has no training data. Newer facts reach the model only through web search or retrieval.

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OpenAI Crawlers

OpenAI crawlers are the user agents OpenAI uses on the web: OAI-SearchBot for ChatGPT search, GPTBot for training, ChatGPT-User and OAI-AdsBot.

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AI API

An AI API is a hosted interface for sending prompts, files and tool definitions to a provider's model, such as GPT-6, Claude or Gemini, and getting output back.

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Tokens

Tokens are the units of text a language model reads and writes, such as word pieces or punctuation. They set context window limits, API prices and rate limits.

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Foundation Models

Foundation models are large AI models trained on broad data and adapted to many tasks. GPT, Claude, Gemini, Grok and DeepSeek are current examples.

AI

Frequently Asked Questions about GPT (Generative Pre-trained Transformer)

Learn about AI visibility monitoring and how Promptwatch helps your brand succeed in AI search.

GPT stands for Generative Pre-trained Transformer. Generative means the model produces new text. Pre-trained means it first learns from a very large text corpus before being tuned for specific behavior such as following instructions. Transformer is the neural network architecture, introduced by Google researchers in 2017, that uses attention to relate every token in a passage to every other token.

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