With AI models, bigger isn’t necessarily better. Small models pack efficiency and speed in a lower-cost offering, and GPT-5.4 is joining the party.

On Tuesday, OpenAI shipped GPT-5.4 mini and nano, which the company calls its most capable small models yet. GPT-5.4 mini offers improvements across nearly every category, including coding, reasoning, multimodal understanding, and tool use, while being 2x faster than GPT-5 mini, according to OpenAI.

Notably, despite its smaller size, GPT-5.4 mini’s performance is comparable to that of its larger counterpart on SWE-Bench Pro and OSWorld-Verified, with a difference of around 3%. Meanwhile, GPT-5.4 nano is the smallest and cheapest version of GPT-5.4, particularly useful for tasks where speed and cost are the most important.

Overall, the benefits of using these models ultimately come down to high-volume workloads where speed is of the essence. OpenAI lists some examples in which they may be particularly useful:

• Coding: The models can efficiently tackle coding workflows that need fast interactions, including tasks such as “targeted edits, codebase navigation, front-end generation, and debugging loops with low latency.”
• Subagents: For systems that can combine multiple models, GPT-5.4 mini is efficient as a subagent for tackling smaller tasks in parallel, as the bigger model or agent.
• Computer use: GPT-5.4-mini is proficient in multimodal tasks related to computer use, such as quickly interpreting screenshots.

GPT-5.4 mini is available in the API, Codez, and ChatGPT starting today. Meanwhile, GPT-5.4 nano is only available in the API.

Our Deeper View

Large Language Models (LLMs) were the primary focus as AI models first gained widespread popularity. However, as use cases continue to grow more specialized within everyday workflows, small language models offer compelling advantages in many scenarios, with some of the most notable being customization, cost efficiency, speed, and the ability to run on edge devices. This is especially true given the recent rise of computer agents that can take direct control of your machine, where running locally offers meaningful privacy and performance benefits. As a result, OpenAI's release of GPT-5.4 mini and nano is well-timed and addresses a genuine market need.