Limitations, Controversies, and Challenges
Learn about limitations, controversies and challenges of DeepSeek models.
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DeepSeek has made significant strides in the AI landscape. Since its global launch in December 2024, DeepSeek has amassed over 10 million downloads and boasts 1.8 million daily active users. DeepSeek excels in areas like Chinese language processing and offers cost-effective AI solutions, but it also faces challenges when compared to OpenAI's GPT-4 Turbo and other models, particularly in advanced reasoning and real-world applications.
Limitations and biases of DeepSeek models
Despite its rapid growth and impressive user base, DeepSeek’s models exhibit certain limitations that are important to consider.
Weaknesses in advanced reasoning and logical consistency: DeepSeek models struggle with complex logical reasoning tasks, such as multi-step deduction, mathematical proofs, and problem-solving that requires long-term tracking of variables. OpenAI o3-mini is significantly stronger in this domain due to extensive fine-tuning on reasoning-based datasets.
Weak mathematical and scientific deduction: DeepSeek is inferior to OpenAI models in mathematics and scientific reasoning, especially when dealing with symbolic manipulation, proofs, and high-level mathematical derivations. As seen in our ...