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GPT-5.2 is our newest flagship model for enterprise and agentic workloads, designed to deliver higher accuracy, stronger instruction following, and more disciplined execution across complex workflows. Building on GPT-5.1, GPT-5.2 improves token efficiency on medium-to-complex tasks, produces cleaner formatting with less unnecessary verbosity, and shows clear gains in structured reasoning, tool grounding, and multimodal understanding.

GPT-5.2 is especially well-suited for production agents that prioritize reliability, evaluability, and consistent behavior. It performs strongly across coding, document analysis, finance, and multi-tool agentic scenarios, often matching or exceeding leading models on task completion. At the same time, it remains prompt-sensitive and highly steerable in tone, verbosity, and output shape, making explicit prompting an important part of successful deployments.

While GPT-5.2 works well out of the box for many use cases, this guide focuses on prompt patterns and migration practices that maximize performance in real production systems. These recommendations are drawn from internal testing and customer feedback, where small changes to prompt structure, verbosity constraints, and reasoning settings often translate into large gains in correctness, latency, and developer trust.

Compared with previous generation models (e.g. GPT-5 and GPT-5.1), GPT-5.2 delivers:

This guide focuses on prompting GPT-5.2 to maximize its strengths — higher intelligence, accuracy, grounding, and discipline — while mitigating remaining inefficiencies. Existing GPT-5 / GPT-5.1 prompting guidance largely carries over and remains applicable.