DeepSeek surpasses ChatGPT in new monthly visits.

DeepSeek has surpassed ChatGPT in web-based growth and is now the third most used AI tool globally.

According to newly released data from AITools, DeepSeek had 525 million new web visits in February, while ChatGPT had 500 million. The Chinese AI model thus became the fastest growing, ahead of well-known names such as ChatGPT, Canva, Grok.

DeepSeek ranks first in terms of new users visiting the web platform every month.

However, DeepSeek is not easily approaching ChatGPT's number one position. OpenAI's model has more than 5 billion monthly web visits, accounting for 43.16% of the market share. In second place is Canva's image-generating AI with nearly a billion visits. DeepSeek is third with nearly 800 million visits, accounting for 6.58% of the market share.

Previously, according to QuestMobile data, the DeepSeek app surpassed ChatGPT in daily active users at the end of January and surpassed 30 million users in early February. DeepSeek also became the fastest app in history to reach this milestone, surpassing many platforms from major technology companies.

DeepSeek ranks third in terms of web-based AI tool users.

In February, DeepSeek also entered the top 5 AI applications with the most monthly active users (MAU), according to Aicpb statistics, with 33.7 million, after Nova AI, a GPT aggregator chatbot, and Gemini with 56.6 million, Doubao 78.61 million, while ChatGPT reached more than 349 million monthly users.

China is the market that uses DeepSeek the most, accounting for 30.71%, while India is 13.59%, Indonesia 6.94%, the US 4.34%.

DeepSeek interface with company logo.

DeepSeek was founded in 2023 by Liang Wenfeng, co-founder of AI investment fund High Flyer. The company began developing DeepSeek in April 2023, before launching the R1 inference model on January 20. The Chinese company's approach has been highly appreciated by major AI companies such as Microsoft, OpenAI, and Nvidia. However, it has also caused a lot of controversy, such as questions about the development cost, which could reach billions of dollars, "distilling" knowledge from previous models, and the risk of information security.

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