OpenAI launches GPT‑5.4 mini and nano, promising faster and cheaper coding workflows

OpenAI announced the launch of its new GPT-5.4 mini and nano AI models, touting improvements in coding workflows, as well as improved speeds at lower costs.

“Today we’re releasing GPT‑5.4 mini and nano, our most capable small models yet. They bring many of the strengths of GPT‑5.4 to faster, more efficient models designed for high-volume workloads,” stated OpenAI in a blog post.

According to the company, GPT‑5.4 mini outperformed GPT‑5 mini in areas such as coding, reasoning, multimodal understanding, and tool use, while running more than twice as quickly. OpenAI also added that it neared the performance of the GPT-5.4 model, as per some evaluations.

Meanwhile, OpenAI pitched the GPT‑5.4 nano model as the “smallest, cheapest version of GPT‑5.4” for users looking at speed and cost. Some recommended tasks for the small model included classification, data extraction, ranking, and some lower-level coding subagents.

OpenAI stressed that both models were adept at handing coding workflows, and that they could deliver targeted edits, codebase navigation, front-end generation, and the debugging of loops with low latency.

OpenAI announced that GPT‑5.4 mini was available in the API, Codex, and ChatGPT, while GPT‑5.4 nano was only available in the API. It was priced at $0.20 per 1 million input tokens and $1.25 per 1 million output tokens.

“These models are built for the kinds of workloads where latency directly shapes the product experience: coding assistants that need to feel responsive, subagents that quickly complete supporting tasks, computer-using systems that capture and interpret screenshots, and multimodal applications that can reason over images in real-time. In these settings, the best model is often not the largest one—it’s the one that can respond quickly, use tools reliably, and still perform well on complex professional tasks,” noted the ChatGPT-maker in its blog post introducing GPT‑5.4 mini and nano.