AI Glossarymodels
GPT
OpenAI's family of generative pre-trained transformer models, the most widely adopted LLMs for commercial AI applications.
How It Works
GPT (Generative Pre-trained Transformer) is OpenAI's flagship model line. The current generation includes GPT-5-mini (cheapest, best for most apps), GPT-5.2 (standard tier), and GPT-5.2-pro (advanced reasoning). GPT models are accessed through OpenAI's Responses API and support features like function calling, structured output (JSON mode), vision, and web search. They use a token-based pricing model where you pay per input and output token.
For builders, GPT models are the default choice for chat, analysis, code generation, and most text-based tasks. The Conversations API lets you maintain persistent chat threads without managing message history yourself. Most production apps start with GPT-5-mini and only upgrade to GPT-5.2 if the task requires stronger reasoning.
Key consideration: each GPT variant has different capability tradeoffs. GPT-5-mini is fast and cheap but less capable on complex reasoning. GPT-5.2-pro supports adjustable reasoning effort (low/medium/high) for tasks that need deeper analysis.
Common Use Cases
- 1Chat applications and assistants
- 2Content generation and summarization
- 3Code generation and debugging
- 4Data extraction and classification
- 5Multi-step reasoning tasks
Related Terms
Large Language Model (LLM)
A neural network trained on massive text datasets that can generate, understand, and reason about human language.
TransformerThe neural network architecture behind all modern LLMs, using self-attention mechanisms to process sequences in parallel.
ClaudeAnthropic's family of AI models known for long context windows, strong reasoning, and instruction-following capabilities.
GeminiGoogle's multimodal AI model family optimized for text, image, audio, and video understanding and generation.
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