o1-preview VS o1-mini

Comparing two of OpenAI's newest model, pitting o1-preview and o1-mini in a head-to-head battle. Let's explore, which model performs better for your usecase.

OpenAI recently introduced two new models: o1-preview and o1-mini. While Preview is designed to deliver superior reasoning performance, it comes with a higher cost. O1-mini in the meantime, is marketed as an ultimate STEM tool. In this article, we’ll explore when it makes sense to opt for the more powerful Preview model and when the more affordable Mini model will be sufficient for your needs. Let's consider the specs first.

The main differences between o1-mini and o1-preview are their maximum output tokens and processing speeds. O1-mini can generate up to 65K tokens and operates at a speed of 73.9 tokens per second. In comparison, o1-preview is limited to 32K output tokens and processes at 23 tokens per second. The practical distinction between them depends on their performance in specific use cases.

Interestingly, o1-mini performs lower in Cybersec whilst being superior in coding. It still performs better in Maths. Let's dive into the practical test to see how the models perform under pressure.

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