Deepseek AI Statistics By Growth, Demographics, Data Comparison, Popularity and Important Facts

Introduction

Deepseek AI Statistics: Even though U.S. companies like OpenAI get most of the attention, DeepSeek AI made a big impact worldwide in January 2025 with its powerful and budget-friendly AI models. Started in China with a background in quantitative finance, DeepSeek focuses on making AI more efficient and open-source, attracting global interest.

Right now, DeepSeek is the top downloaded app on the App Store in more than 156 countries and gets around 22.15 million active users every day worldwide. This article shares important DeepSeek AI Statistics about DeepSeek’s fast growth and compares it to major U.S. AI companies.

Editor’s Choice

• The third version of DeepSeek (DeepSeek-V3) was built for $5.5 million, which is just 1/18th the cost of OpenAI’s GPT-4.
• DeepSeek has been downloaded over 10 million times in its first two weeks.
• The app is most popular in China, making up 39% of all iOS downloads.
• The U.S. accounts for 16% of all DeepSeek downloads.
• Since launching in mid-January 2025, DeepSeek has averaged 1.8 million daily active users.
• DeepSeek is ranked #1 in the free Productivity apps category on the Indian App Store.
• In just one month, DeepSeek’s website traffic grew by 160%.
• In August 2024, DeepSeek’s website had 7,475 visitors per day, but by February 2025, this number soared to 100,776 daily visitors—a 12× increase.
• DeepSeek AI Statistics stated that DeepSeek AI was trained using 14.8 trillion tokens.
• Training DeepSeek required 2.788 million H800 GPU hours.
• The company used around 2,000 Nvidia H800 chips to power the training process, showing strong computing capabilities.
• DeepSeek can store up to 128,000 tokens at once, making it capable of processing long text inputs and generating 8,000 tokens per response.
• DeepSeek-R1 outperformed OpenAI-o1-1217 in 2 out of 5 coding tests (40%), excelling in LiveCodeBench (65.9% vs. 63.4%) and SWE Verified (49.2% vs. 48.9%).
• DeepSeek AI Statistics stated that India is the 4th largest market for DeepSeek users.
• DeepSeek’s total training expenses were $5.58 million, making it much cheaper than competing models.

What is DeepSeek AI?

DeepSeek, officially called Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., is a Chinese AI company that creates large language models (LLMs). It is based in Hangzhou, Zhejiang, and is owned and funded by the High-Flyer hedge fund. The company was started in July 2023 by Liang Wenfeng, who also co-founded High-Flyer and serves as the CEO of both companies. In January 2025, DeepSeek introduced its chatbot along with the DeepSeek-R1 model.

(Source: explodingtopics.com)

DeepSeek-R1, released under the MIT License, performs at a similar level to other top AI models like OpenAI’s GPT-4o. The company says it spent only $6 million to train its V3 model, which is far less than the $100 million OpenAI spent on GPT-4 in 2023. DeepSeek also used just 10% of the computing power that Meta needed for Llama 3.1. Because of its cost-effective methods, DeepSeek is now seen as a major competitor in AI.

Unlike fully open-source AI, DeepSeek’s models have “open weights”, meaning people can use them but with some limits on making changes. The company hires AI experts from top Chinese universities and also brings in specialists from other industries to make its models smarter and more diverse.

DeepSeek-R1 was built using cost-saving techniques like the “mixture of experts” method, which helps lower expenses. Since the U.S. has restrictions on AI chip exports to China, DeepSeek trained its model on less powerful chips designed for the Chinese market and used fewer chips overall. Even with these challenges, DeepSeek managed to cut costs while maintaining high-quality performance. This shocked the AI industry, putting pressure on big companies like Nvidia. As a result, Nvidia suffered a $600 billion drop in stock value—the biggest single-company loss in U.S. stock market history.

DeepSeek AI Growth Statistics

• When ChatGPT launched, it gained 1 million users in only 5 days. By day 40, the platform had reached 10 million users.
• DeepSeek, released in January 2025, had a different growth pattern. It took 14 days to reach 1 million users, almost three times longer than ChatGPT.
• However, DeepSeek’s growth then skyrocketed. The platform reached 10 million users in just 20 days, twice as fast as ChatGPT, which reached the same milestone in 20 days.
• Below is a comparison of well-known online platforms and how long it took them to reach 1 million and 10 million users:

• Soon after reaching 10 million users, ChatGPT grew to 100 million monthly active users by January 2023, around 60 days after its launch.
• It will be interesting to see if DeepSeek maintains a similar growth rate in the next few months.

DeepSeek Website, Unique Visitors by Country

• From January 20 to 26, 2025, the U.S., China, and India were the biggest markets for DeepSeek, contributing 32.62% of all unique visitors to its website.

(Reference: backlinko.com)

DeepSeek User Demographics Statistics

• DeepSeek AI Statistics stated that 71.57% of DeepSeek’s user base is male, while female users make up 28.43%.
• This may be because men are more likely to adopt new technology early, marketing efforts focus on male-dominated industries, and its features appeal to those interested in tech and coding.

(Reference: grabon.in)

• DeepSeek AI is most popular among younger users, with the 25-34 age group making up 34.47% of its user base.
• The 18-24 age group follows at 22.03%, showing that Millennials and Gen Z are the biggest adopters.
• DeepSeek AI Statistics stated that users aged 35-44 account for 19.82%, showing stable engagement. However, the number of older users decreases as age increases:

1. 45-54 years old: 13.11%
2. 55-64 years old: 6.43%
3. 65+ years old: 4.14%

(Reference: grabon.in)

DeepSeek vs OpenAI Statistics & Data Comparison

DeepSeek performs at the same level as OpenAI-o1-1217 and sometimes even surpasses it in math-related tasks. Here’s how they compare:

• Strong Problem-Solving Skills: DeepSeek solves complex math problems just as well or even better than OpenAI’s model.
• Smart Reasoning: It shows advanced logical thinking, making it a strong competitor in the AI industry.

(Reference: demandsage.com)

• DeepSeek-R1 performs better than OpenAI in math-related tasks, but OpenAI still has an advantage in coding benchmarks like Codeforces Rating, Percentile, and Aider-Polyglot. Here’s a quick comparison:

1. AIME 2024: DeepSeek (79.8%) vs. OpenAI (79.2%)
2. MATH-500: DeepSeek (97.3%) vs. OpenAI (96.4%)

(Reference: 365datascience.com)

• While DeepSeek leads in math performance, OpenAI remains stronger in coding-related evaluations.

• DeepSeek-R1 and OpenAI-o1-1217 each excel in different areas of coding performance:
• DeepSeek-R1 performs better in 2 out of 5 coding tests (40%):

1. 1. LiveCodeBench: DeepSeek (65.9%) vs. OpenAI (63.4%) → 4% higher performance
   2. SWE Verified: DeepSeek (49.2%) vs. OpenAI (48.9%) → Almost the same results

• OpenAI-o1-1217 leads in 3 out of 5 tests (60%):

1. 1. Codeforces Rating: OpenAI (2061) vs. DeepSeek (2029)
   2. Codeforces Percentile: OpenAI (96.6%) vs. DeepSeek (96.3%)
   3. Aider-Polyglot: OpenAI (61.7%) vs DeepSeek (53.3%) → 3.9% higher, showing stronger multilingual coding skills

• DeepSeek AI Statistics stated that DeepSeek performs better in general coding tasks, while OpenAI is stronger in multilingual programming and competitive coding challenges.

DeepSeek Popularity Statistics

DeepSeek’s popularity is rising fast because of its cutting-edge features and efficient AI technology. Here’s why it stands out:

(Source: statista.com)

#1. Affordable & Efficient AI Model

• Lower GPU Usage: Trained using just 2,000 GPUs, much fewer than rivals who typically use 16,000+ GPUs.
• Faster Training: Completed training in 55 days, which is quicker than most major AI companies.
• Lower Cost: Training expenses were only $5.58 million, making it far cheaper than other AI models.

#2. Easy-to-Use AI Assistant

• Works on Multiple Devices: It is available on iOS and Android, making it accessible to a broad audience.
• Top-Ranked App: Became the #1 free app on the U.S. & India iOS App Store, surpassing competitors like ChatGPT and Gemini.
• Smart Conversations: Can answer questions, solve problems, and generate content with ease.

#3. High-Speed Performance

• Quick Response Time: Delivers answers in just 1-3 seconds, ensuring fast and accurate replies.
• Advanced Understanding: Can process complex requests and provide precise, to-the-point responses.

#4. Global Expansion

1. Rapid User Growth: Surpassed 10 million downloads in early 2025, with more users joining daily.
2. Available for Everyone: Offers both free and premium plans, making it suitable for casual users and professionals.

(Source: nbcnews.com)

#5. Strong Security & Privacy

• DeepSeek AI Statistics stated that DeepSeek uses strict security measures to keep personal information safe.
• Enhanced Safety: After facing cyber threats, DeepSeek strengthened security systems to protect users.

#6. Disrupting the AI Industry

• Competitive Advantage: DeepSeek’s low costs and high efficiency are challenging big AI companies.
• Stock Market Impact: Its rapid rise led to major stock losses for Nvidia and Microsoft, making it a game-changer in AI.

#7. Strong Social Media Presence

• Growing Online Following: More than 790,000 followers on X (Twitter) actively engage with its updates.
• Viral Popularity: Users are spreading the word, making DeepSeek one of the most talked-about AI tools online.

DeepSeek Application Download Statistics

• By February 5, 2025, the DeepSeek AI app had been downloaded more than 21.66 million times globally on Google Play and the App Store.

1. 1. Google Play downloads: 15.22 million
   2. App Store downloads: 6.45 million

This indicates that more people are using DeepSeek AI on Android than on iOS.

(Reference: backlinko.com)

• Here is a detailed report on DeepSeek app daily downloads across Google Play and the App Store since January 20, 2025.

China’s AI push batter’s tech stocks

(Source: reuters.com)

• Nvidia’s Stock Decline: On Monday, Nvidia’s stock dropped by $24.20, closing at $118.42.
• So far this year, the stock has fallen 11.8%, even though it gained 171% in 2024 and around 239% in 2023 as investors viewed it as a top AI investment.
• DeepSeek AI Statistics stated that the stock trades at 56 times its earnings. After markets closed on Monday, Nvidia’s shares rose by 2.5%.
• Vertiv Holdings Losses: Vertiv Holdings (VRT.N), a company that builds data centre infrastructure, saw its stock plunge by 29.9% on Monday.
• Power Utility Stocks Decline: Investors pulled back from power company stocks, which had recently surged due to expectations of higher electricity demand from AI-driven data centres.

1. 1. Vistra (VST.N) dropped 28.3%
   2. Constellation Energy (CEG.O) declined 20.8%
   3. NRG Energy (NRG.N) fell 13.2%

DeepSeek Important Facts

• DeepSeek was created as a separate company from High-Flyer, a hedge fund. It focuses on AI research instead of making fast profits—similar to how OpenAI started.
• High-Flyer had over 100 billion RMB (~$15 billion) in assets, giving DeepSeek strong funding to experiment without worrying about making money right away.
• DeepSeek bought these chips early and improved its software efficiency, allowing it to compete with larger AI labs even when the U.S. restricted chip exports.
• Most of DeepSeek’s AI researchers graduated within the past two years, bringing fresh ideas and working without corporate limitations.
• Unlike other AI models that rely on pre-trained data, DeepSeek’s RL method helps it develop better reasoning skills in math and coding.
• DeepSeek uses Multi-Head Latent Attention (MLA) to speed up training and improve accuracy, even with fewer GPUs.
• Instead of activating all AI parameters at once, DeepSeek activates only the necessary ones, cutting computing expenses while maintaining high performance.
• This model is as powerful as top Western AI models but costs much less to train due to DeepSeek’s efficient design.
• DeepSeek-V3 was trained at a much lower price than major AI competitors, proving its cost-effective approach.
• DeepSeek’s “R1-Distill” compresses large AI models, making them easier to use on less powerful devices.
• DeepSeek allows free use, modification, and commercial applications, attracting global developers to improve the model.
• DeepSeek’s AI service costs just $0.55 per million input tokens, compared to $15 or more charged by some U.S. competitors, making AI more affordable.
• Because DeepSeek’s prices are so low, big companies like Alibaba, Baidu, and Tencent had to cut their AI prices, making AI cheaper for everyone.
• Instead of focusing only on practical AI applications, DeepSeek works on big, risky AI research projects, similar to early OpenAI.
• Despite export bans, DeepSeek created new ways to optimise GPU communication and memory, allowing it to stay competitive.
• Many DeepSeek researchers see their work as helping China compete globally in AI, combining national pride with scientific progress.
• Wired and Forbes have highlighted DeepSeek’s AI advancements, proving its efficiency and innovation.
• If DeepSeek keeps scaling up while keeping costs low, it could transform the global AI industry.

Conclusion

In summary, DeepSeek AI has quickly become a strong competitor in the AI industry by offering affordable, efficient, and high-performing models. With over 21.66 million downloads worldwide and a rapidly growing user base, it is gaining attention globally. DeepSeek competes closely with major AI companies in performance tests while keeping its training and API costs much lower. Its budget-friendly pricing, cutting-edge technology, and smart innovations make it a major player in the AI field.

As it continues to grow and improve, DeepSeek is expected to have an even bigger impact on the AI market, research advancements, and pricing strategies. We have shed enough light on Deepseek AI Statistics through this article.