Introduction To DeepSeek
- Shreyas Naphad
- Mar 3
- 2 min read
In today’s new era, technology continues to improve at a greater rate, and one of the most exciting finds is artificial intelligence (AI).
Among the many AIs present today, DeepSeek stands out as a powerful tool designed to improve decision-making, data analysis, and problem-solving across various industries.
Now you might ask, “How is DeepSeek different from OpenAI’s ChatGPT?” Unlike ChatGPT, a general-purpose conversational AI, DeepSeek uses specialized, industry-specific models to analyze complex data and deliver precise insights for sectors like healthcare, finance, and retail. It’s designed for professionals seeking data-driven solutions, not just conversation.
Differences between DeepSeek and ChatGPT
Deepseek | ChatGPT |
Deepseek is open source general-purpose language model | ChatGPT is a closed source general-purpose language model |
It is optimized for Chinese-language tasks and fine-tuned for domain-specific applications | It is globally trained and fine-tuned for a wide range of use cases |
Focused on data analysis, pattern recognition, and actionable insights | Designed as a general-purpose conversational AI for tasks like generating text |
Deepseek is more reliable for coding and technical tasks | ChatGPT is often used for general research and answering questions |
DeepSeek charges $0.55 per million input tokens and $2.19 per million output tokens | ChatGPT charges $15 per million input tokens and $60 per million output tokens |
Surprisingly, such a powerful AI was created not by a Fortune 500 company but by a small team of researchers and engineers dedicated to advancing open-source AI.
DeepSeek’s affordability and specialized capabilities make it an attractive choice for businesses and professionals looking for efficient AI-powered decision-making tools. DeepSeek-R1 also excels in a wide range of tasks, including creative writing, general question answering, editing, summarization, and more. It achieves an impressive length-controlled win-rate of 87.6% on AlpacaEval 2.0 and a win-rate of
92.3% on ArenaHard
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