2024年9月12日 · We're releasing OpenAI o1‑mini, a cost-efficient reasoning model. o1‑mini excels at STEM, especially math and coding—nearly matching the performance of OpenAI o1 on evaluation benchmarks such as AIME and Codeforces. We expect o1‑mini will be a faster, cost-effective model for applications that require reasoning without broad world ...

Learn how to use Azure OpenAI's advanced o3-mini, o1, & o1-mini reasoning models

2024年9月12日 · The o1 series excels at accurately generating and debugging complex code. To offer a more efficient solution for developers, we’re also releasing OpenAI o1‑mini, a faster, cheaper reasoning model that is particularly effective at coding. As a smaller model, o1‑mini is 80% cheaper than o1‑preview, making it a powerful, cost-effective ...

OpenAI o1‑mini excels at STEM, especially math and coding—nearly matching the performance of OpenAI o1 on evaluation benchmarks such as AIME and Codeforces. We expect o1‑mini will be a faster, cost-effective model for applications that require reasoning without broad world knowledge. Learn more.

2025年2月7日 · Explore the key differences between OpenAI's o3-mini and o1-mini models. Learn which AI model suits your needs for speed, cost, and precision

OpenAI offers two specialized "mini" models—o3-mini and o1-mini—each designed for different purposes. Understanding their key differences helps select the right tool for specific tasks. Optimized specifically for STEM reasoning during pretraining, with a focus on mathematical and programming tasks.

Just four months after releasing GPT-4o, OpenAI finally released its rumored "Strawberry" LLM, officially known as o1 and o1-mini.

2024年12月17日 · What is the o1-mini Model? The o1-mini model is adept at complex reasoning tasks, representing a significant advancement in AI capabilities. It can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build ...

2025年2月5日 · This section explores how O1 and O3-mini differ from GPT-4o in input handling, reasoning capabilities, and response behavior, and outlines prompt engineering best practices to maximize their performance. Finally, we apply these best practices to a legal case analysis scenario. Differences Between O1/O3-mini and GPT-4o

o1-mini is developed to provide a faster, cheaper reasoning model that is particularly effective at coding. As a smaller model, o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge.