This article examines and compares four prominent AI models—OpenAI's o1, Meta's LLaMA 3.2, Anthropic's Claude 3.5 Sonnet, and Google's Gemini 1.5 Pro—focusing on their inference capabilities, training methodologies, and performance benchmarks.
- OpenAI o1 excels in advanced reasoning, scoring 83% on the International Mathematics Olympiad qualifying exam and ranking in the 89th percentile for competitive programming, though it lacks multimodal capabilities.
- Meta LLaMA 3.2 is an open-source model with multimodal functionality, offering variants from lightweight mobile models to large-scale vision models suitable for edge devices and augmented reality.
- Claude 3.5 Sonnet prioritizes AI safety and ethical considerations, solving 64% of problems in internal agentic coding evaluations while maintaining high visual reasoning performance.
- Gemini 1.5 Pro utilizes a Mixture-of-Experts architecture with a 1 million token context window to handle multimodal tasks across text, images, audio, and video.
The comparison aims to inform developers and researchers about the best reasoning model for their specific application needs by highlighting differences in architecture, benchmarks, and use cases.