GPT (Generative Pre-trained Transformer)
// Description
GPT (Generative Pre-trained Transformer) is OpenAI's model architecture and the foundation for ChatGPT. "Generative" means the model creates text, "Pre-trained" refers to pre-training on massive text corpora, and "Transformer" is the underlying network architecture.
The GPT evolution: GPT-1 (2018, 117M parameters), GPT-2 (2019, 1.5B), GPT-3 (2020, 175B — the breakthrough), GPT-4 (2023, estimated 1.7T parameters MoE), GPT-5.2 (2026, frontier model with 128K token context window). Each generation brought qualitative leaps in text understanding, reasoning, and multimodality.
GPT-5.2 (March 2026) offers: multimodal capabilities (text, image, audio, video), a 128K token context window, native tool use, and API pricing of $1.75 input / $14 output per million tokens. Plus the reasoning models o3 and o4 with extended Chain-of-Thought capability for complex tasks.
In comparison: Claude Opus 4.6 leads in code (80.9% SWE-bench) and long documents, Gemini 3.1 Pro offers a 1M token context window and Google integration. GPT-5.2 excels with the broadest ecosystem (Custom GPTs, plugins, wide API support) and the best value among frontier models.
// Use Cases
- Text generation & content creation
- Code generation & debugging
- Data analysis & interpretation
- Multimodal tasks (image + text)
- Custom GPTs for workflows
- API integration into products
- Reasoning with o3/o4
- Translation & localization
GPT is our workhorse for content and concept development. The Custom GPTs ecosystem is unbeatable for team workflows. For code we use Claude, for Google data Gemini — but GPT remains the default.
// Frequently Asked Questions
What is GPT?
What's the difference between GPT and ChatGPT?
Which GPT version is current?
How does GPT compare to Claude and Gemini?
// Related Entries
Need help with GPT (Generative Pre-trained Transformer)?
We are happy to advise you on deployment, integration and strategy.
Get in touch