OpenAI: o1-mini (2024-09-12)

OpenAI's o1-mini (2024-09-12) model, part of the new o1 family, demonstrates exceptional speed and reliability, positioning it as a promising experimental offering. It consistently ranks among the fastest models, achieving an Infinityth percentile across three benchmarks, indicating superior processing speed. While no cost data is available, suggesting potential free tier usage, its reliability is outstanding, scoring 100th percentile across all benchmarks. This signifies that the model consistently provides usable responses without technical failures, a critical factor for development and testing. However, despite its strong foundational performance in speed and reliability, the o1-mini model currently exhibits significant limitations in accuracy across all tested categories. It achieved 0.0% accuracy in Email Classification, Reasoning, and General Knowledge benchmarks, with considerable durations for each test (196963ms, 72425ms, and 314610ms respectively). This indicates that while the model is fast and stable, its current iteration does not yet possess the functional accuracy required for practical application, aligning with its experimental status and the provider's note that it is "not suitable for production use-cases." Its stated optimization for STEM tasks and PhD-level accuracy on benchmarks in physics, chemistry, and biology are not reflected in these general baseline tests.