Evaluation of AI Models QwQ and GPT-4 o1 in Logical Reasoning Capabilities

The article discusses the reasoning capabilities of Alibaba’s new AI model, QwQ-32B-Preview, comparing it with OpenAI’s GPT-4 o1 and Gemma-2-27B. The primary focus is on the models’ ability to handle logical reasoning tasks, such as proving mathematical theorems. While all models successfully provided correct proofs for specific mathematical claims, QwQ stood out due to its verbose explanation. The article also highlights the relatively small size of models like QwQ and Gemma, which still manage to perform on par with the much larger GPT-4 o1, suggesting that smaller models can be efficient alternatives to larger, commercial AI systems. However, the article questions the overall effectiveness of training models on verbal logic rather than on logical patterns and suggests potential improvements in training AI on various abstract patterns across different domains.