DeepSeek vs ChatGPT vs Gemini: Can a lower-cost model outperform Google, OpenAI and other tech giants? | Mint

DeepSeek vs ChatGPT vs Gemini: Can a lower-cost model outperform Google, OpenAI and other tech giants? | Mint

Source: Live Mint

In the ever-evolving world of artificial intelligence, a new player has emerged that is sending shockwaves through Silicon Valley and beyond. DeepSeek, a Chinese startup founded just over a year ago, has developed an AI model that is offering startlingly comparable performance to industry giants like OpenAI’s ChatGPT and Google’s Gemini, but at a fraction of the cost. 

Created in Hangzhou, China, this innovative company has not only grabbed attention for its impressive technological strides but also for its challenge to established beliefs about the future of AI development, reported Bloomberg.

DeepSeek vs ChatGPT vs Gemini

When comparing DeepSeek to its most prominent competitors, OpenAI’s ChatGPT and Google’s Gemini, there are significant distinctions in both performance and infrastructure.

Performance:
On various leading benchmarks, including the AIME 2024 for mathematical tasks, MMLU for general knowledge, and AlpacaEval 2.0 for question-answering, DeepSeek’s R1 model has shown itself to be a formidable competitor, Bloomberg reported. 

In fact, DeepSeek often matches or exceeds the performance of both ChatGPT and Gemini. For example, in the UC Berkeley-affiliated Chatbot Arena, DeepSeek ranks among the top performers, challenging ChatGPT and Gemini, which have long been considered the gold standard in AI.

Efficiency:
One of the key advantages of DeepSeek is its efficiency. While OpenAI and Google pour billions into developing ever-larger AI systems powered by state-of-the-art hardware from companies like Nvidia, DeepSeek’s breakthrough lies in achieving similar performance with far less resource consumption. This raises a critical question: does AI development need to be as energy-intensive and costly as it currently is? DeepSeek’s success challenges the narrative that more power and money are required to build the next big AI model.

(This is a developing story. Comeback for more)



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