GPT-4o MinivsGPT-o1

GPT-4o Mini is OpenAI's most affordable model in the GPT-4o family, designed to make advanced AI accessible for high-volume applications. At just $0.15 per million input tokens, it's one of the cheapest frontier-class models available while still delivering strong performance on everyday tasks. The model supports a 128K context window, function calling, JSON mode, and vision capabilities — inheriting key features from its larger sibling. GPT-4o Mini excels at classification, summarization, content generation, and simple reasoning tasks where full GPT-4o performance isn't necessary. It has become one of the most widely used AI models globally, powering millions of applications from chatbots to coding assistants to data processing pipelines.

GPT-o1 is OpenAI's first dedicated reasoning model, introducing the concept of 'thinking tokens' where the model reasons through problems step-by-step before generating a response. This approach significantly improves performance on complex mathematics, coding challenges, and scientific reasoning compared to standard language models. With a 200K token context window, o1 can process lengthy technical documents while applying deep reasoning. It excels on competition-level math problems, PhD-level science questions, and complex coding tasks that require careful logical thinking. While slower and more expensive than GPT-4o due to the reasoning overhead, o1 delivers substantially better results on tasks that benefit from deliberate, structured problem-solving rather than quick pattern matching.