OpenAI GPT-4o mini

GPT-4o mini is a distilled variant of the larger GPT-4o model, designed to bring strong AI capabilities to cost-sensitive applications. Despite its compact size, it achieves competitive performance, scoring 82% on the MMLU benchmark and outperforming its predecessor GPT-4 1 on chat preferences in the LMSYS leaderboard. The model inherits an improved tokenizer shared with GPT-4o, making non-English text processing notably more cost-effective. Built for developers and businesses seeking capable AI without frontier-model pricing, it excels in scenarios requiring multiple chained or parallelized model calls, processing large contexts like full codebases or conversation histories, and powering fast, real-time customer interactions.

The model was created through a distillation process that transfers capabilities from the larger GPT-4o into a smaller, more efficient form. This approach maintains much of the larger model's intelligence while drastically reducing operational costs—making it over 60% cheaper than GPT-3.5 Turbo. The combination of strong benchmark performance, affordable pricing, and broad API accessibility positions GPT-4o mini as a practical choice for scaling AI integration across products and services. It has already begun replacing GPT-3.5 Turbo in OpenAI's offerings, reflecting confidence in its readiness for mainstream use cases.