GPT‑5.4 mini and nano – fast, efficient models optimized for coding and subagents

Summary: GPT-5.4 mini and nano are streamlined AI models designed for coding, subagents, and multimodal tasks, offering faster and more cost-effective alternatives to larger models. They enable responsive AI systems with features like tool use, web search, and extensive context handling.

What it does

GPT-5.4 mini delivers twice the speed of GPT-5 mini with near GPT-5.4 benchmark performance, while nano provides a lightweight, low-cost option for classification, data extraction, ranking, and simple coding. Both serve as fast subagents complementing GPT-5.4 for scalable task execution.

Who it's for

These models target developers building AI products, coding tools, automation workflows, and responsive AI systems requiring efficient, real-world performance.

Why it matters

They reduce latency and cost in production AI by offering smaller, faster, and cheaper models without sacrificing capability.