DeepSeek defines several key properties

[samiaseo55]

Open-source and customizable: Anyone can access, modify, and self-host the model. For SEOs, this offers customization, cost savings, and control over privacy.
Highly cost-effective: The model is available for free, and self-hosting can reduce dependence on paid APIs of proprietary platforms like OpenAI.
Efficient use of resources: DeepSeek is designed to run efficiently compared to other large models, making it more accessible to those with limited computing resources.
Access to some real-time information: While nurse database DeepSeek is not as robust as Perplexity, it has demonstrated a limited ability to retrieve more up-to-date information, although this is not its main strength.
Strong in coding and automation: DeepSeek excels at generating scripts, solving logic-based problems, and helping with technical SEO tasks - areas where other LLMs may fall short.
However, these features have their limitations:

Compared to ChatGPT and Gemini, DeepSeek generally struggles to produce high-quality content . It also lacks strong multimodal support for integrating images or other media into its outputs.

It can also return inaccurate or incomplete information, especially for complex, nuanced, or factual queries. This is especially true when working with news or detecting disinformation. When tested for fake news, DeepSeek failed 83% of the time.

The official version of DeepSeek was also found to censor responses to some politically sensitive topics, particularly those related to China.