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

OpenAI's o1-preview (2024-09-12) model demonstrates a strong overall performance profile, particularly excelling in accuracy and reliability. While its speed performance is moderate, ranking in the 22nd percentile, it consistently delivers responses, achieving exceptional reliability at the 100th percentile with minimal technical failures. This model is positioned at a premium pricing level, ranking in the 1st percentile for cost across benchmarks. The o1-preview model exhibits remarkable accuracy across various categories, aligning with its description as optimized for STEM tasks. It achieved perfect accuracy in General Knowledge, making it the most accurate model at its price point and speed. Its performance in Reasoning (96.0% accuracy, 90th percentile) and Instruction Following (78.4% accuracy, 96th percentile) highlights its strong problem-solving and complex directive capabilities. While its Coding (87.0% accuracy, 72nd percentile) and Email Classification (97.0% accuracy, 46th percentile) scores are solid, they are not as standout as its reasoning and knowledge capabilities. The model's "spend more time thinking" design appears to translate into high accuracy, particularly in complex cognitive tasks. Its primary weakness is its premium cost, which may limit its applicability for budget-sensitive use cases, despite its high performance.