{"id":10433,"date":"2026-07-13T12:43:55","date_gmt":"2026-07-13T19:43:55","guid":{"rendered":"https:\/\/grabon.com\/blog\/?p=10433"},"modified":"2026-07-14T04:07:14","modified_gmt":"2026-07-14T11:07:14","slug":"deepseek-statistics","status":"publish","type":"post","link":"https:\/\/grabon.com\/blog\/deepseek-statistics\/","title":{"rendered":"DeepSeek AI User Statistics and Facts (2025)"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">DeepSeek AI went live in January 2025 and became an instant hit, ranking #1 on the App Store in the top free app category, pushing ChatGPT to the 2nd position in the United States. Its app has been downloaded over 23 million times worldwide across all app stores within 19 days of launch, making it one of the most downloaded apps of all time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The DeepSeek website attracted over 350.8 million visits worldwide in March 2026, of which 81.63% were from desktops and 18.37% from smartphones.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this statistics blog, we have compiled the latest stats about DeepSeek AI and compared its performance with other major AI models in multiple benchmarks, providing a complete idea.<\/span><\/p>\n<h2><b>Top DeepSeek AI Statistics in 2026<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DeepSeek AI&#8217;s iOS and Android apps have been downloaded over 175 million times since their launch.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DeepSeek supports over 80 programming languages.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">China contributes 34% of DeepSeek app downloads overall, and India accounts for 8% of total downloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">60.48% of the platform&#8217;s users are male, while 39.52% are female.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">DeepSeek-R1 scored 79.8% in the AIME-2024 benchmark, surpassing OpenAI-o1-1217&#8217;s score of 79.2%.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The input cost for the current flagship DeepSeek-V4-Pro is $0.435 per million tokens (cache miss), and the output cost is $0.87 per million tokens.<\/span><\/li>\n<\/ul>\n<h2><b>DeepSeek AI Important Facts<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">DeepSeek AI is new to the market, and most people are unaware of important facts like its parent company, employee count, founder, etc. To make it convenient, we have prepared a table with essential information about the chatbot.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Metrics<\/b><\/td>\n<td><b>DeepSeek Information<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Launch Date<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1 May 2023<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Headquarters<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Hangzhou, China<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Founder<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Liang Wenfeng<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Parent Company<\/span><\/td>\n<td><span style=\"font-weight: 400;\">High-Flyer<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Employees<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Around 160 employees<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Models<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DeepSeek-V4-Pro, DeepSeek-V4-Flash, DeepSeek-V3.2, DeepSeek-R1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Availability<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Free<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Model Architecture<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Mixture of Experts (MoE)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">DeepSeek Cost (V4 flagship)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.435<\/span><span style=\"font-weight: 400;\"> \/ million input tokens (cache miss)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">$0.87<\/span><span style=\"font-weight: 400;\"> \/ million output tokens<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Programming Language Support<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Over 80 programming languages<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Total Parameters (V-4 pro)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1.6 trillion<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Activated Parameters (V-4 pro)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">49 Billion<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/api-docs.deepseek.com\/\"><span style=\"font-weight: 400;\">Deepseek documentation<\/span><\/a><span style=\"font-weight: 400;\">,<\/span> <a rel=\"nofollow\" href=\"https:\/\/www.linkedin.com\/company\/deepseek-ai\/\"><span style=\"font-weight: 400;\">LinkedIn<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2><b>What is DeepSeek AI?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">DeepSeek AI is a free AI-powered chatbot developed by a Chinese company with the same name. Founded in <\/span><span style=\"font-weight: 400;\">July 2023<\/span><span style=\"font-weight: 400;\">, the platform specializes in open-source large language models (LLMs). The chatbot is developed with powerful yet cost-effective models like <\/span><span style=\"font-weight: 400;\">DeepSeek-V4-Pro and DeepSeek-V4-Flash<\/span><span style=\"font-weight: 400;\">, rivaling <\/span><span style=\"font-weight: 400;\">GPT-5.5<\/span><span style=\"font-weight: 400;\"> in efficiency. These sophisticated reasoning models are designed to handle complex reasoning tasks, including math, code, and general problem-solving.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">DeepSeek AI is open-source and allows free use and modification of its AI algorithms. Since its app went live on the App Store and Play Store, it has pushed ChatGPT to the second position and ranked 1 on the App Store in the United States.<\/span><\/p>\n<h2><b>DeepSeek AI Timeline<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The table below showcases the complete timeline of the key events of DeepSeek AI:<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Year<\/b><\/td>\n<td><b>Month and Date<\/b><\/td>\n<td><b>Key Events<\/b><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\"><span style=\"font-weight: 400;\">2023<\/span><\/td>\n<td><span style=\"font-weight: 400;\">May<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DeepSeek AI was founded by Liang Wenfeng in Hangzhou, China.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">June<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Launch of <\/span><b>DeepSeek Coder<\/b><span style=\"font-weight: 400;\"> and <\/span><b>DeepSeek LLM<\/b><span style=\"font-weight: 400;\"> (67B parameters) for coding and natural language processing.<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"3\"><span style=\"font-weight: 400;\">2024<\/span><\/td>\n<td><span style=\"font-weight: 400;\">January<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Launch of <\/span><b>DeepSeek LLM<\/b><span style=\"font-weight: 400;\"> (67B parameters).<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">May<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Launch of <\/span><b>DeepSeek-V2<\/b><span style=\"font-weight: 400;\"> with enhanced performance and efficiency.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Late 2024<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Launch of <\/span><b>DeepSeek Coder-V2<\/b><span style=\"font-weight: 400;\"> (236B parameters) that offers a high context window (128K tokens).<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"8\"><span style=\"font-weight: 400;\">2025<\/span><\/td>\n<td><span style=\"font-weight: 400;\">January<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Launch of <\/span><b>DeepSeek-V3<\/b><span style=\"font-weight: 400;\"> (671B parameters) and <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\">.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">January 10<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Launch of DeepSeek chatbot app for <\/span><b>iOS<\/b><span style=\"font-weight: 400;\"> and <\/span><b>Android<\/b><span style=\"font-weight: 400;\">, powered by DeepSeek-R1.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">January 27<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Becomes the <\/span><b>most downloaded free app<\/b><span style=\"font-weight: 400;\"> on the U.S. iOS App Store.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">March 25<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of <\/span><b>DeepSeek-V3-0324<\/b><span style=\"font-weight: 400;\"> version with better front-end development skills.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">May 28<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of <\/span><b>DeepSeek-R1-0528<\/b><span style=\"font-weight: 400;\"> update with improved benchmark performance and support for JSON output and function calling.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">August 21<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of <\/span><b>DeepSeek-V3.1<\/b><span style=\"font-weight: 400;\"> update with hybrid reasoning architecture, faster reasoning compared to R1-0528, and 128K context for API.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">September 22<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of <\/span><b>DeepSeek-V3.1-Terminus<\/b><span style=\"font-weight: 400;\"> update with improved language consistency, Code Agent, and Search Agent functionalities.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">September 29<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of <\/span><b>DeepSeek-V3.2-Exp<\/b><span style=\"font-weight: 400;\"> update with introduction to DeepSeek Sparse Attention (DSA) for simple long-context training. This update also reduced API prices by over 50%.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2025<\/span><\/td>\n<td><span style=\"font-weight: 400;\">December 1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of DeepSeek-V3.2 alongside the DeepSeek-V3.2-Speciale variant focused on reasoning.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2026<\/span><\/td>\n<td><span style=\"font-weight: 400;\">April 24<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Release of DeepSeek-V4 preview, including DeepSeek-V4-Pro (1.6T parameters, 49B activated) and DeepSeek-V4-Flash (284B parameters, 13B activated). Both ship with a 1 million token context window and 384K max output, released under the MIT license. Legacy deepseek-chat and deepseek-reasoner aliases now map to V4-Flash.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2026<\/span><\/td>\n<td><span style=\"font-weight: 400;\">April<\/span><\/td>\n<td><span style=\"font-weight: 400;\">First external funding round opens at a $10 billion target valuation, climbing toward a reported $45 billion within weeks with Tencent and Alibaba reportedly in talks.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2026<\/span><\/td>\n<td><span style=\"font-weight: 400;\">July 24<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Scheduled deprecation of the legacy deepseek-chat and deepseek-reasoner API aliases (15:59 UTC), per the official DeepSeek API documentation.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/www.deepseek.com\/\"><span style=\"font-weight: 400;\">DeepSeek AI<\/span><\/a><\/p>\n<h2><b>Number of DeepSeek AI Users<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">There are 130 million Deepseek AI users globally. The platform being local to China, the country leads in terms of the user count of the platform.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The DeepSeek app was downloaded over 23 million times across iOS and Android devices worldwide within 19 days of its launch on January 10, 2025. By the end of 2025, total downloads had reached approximately 175 million.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In contrast, the <\/span><a rel=\"nofollow\" href=\"https:\/\/www.grabon.in\/indulge\/tech\/chatgpt-user-statistics\/\"><span style=\"font-weight: 400;\">ChatGPT<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a rel=\"nofollow\" href=\"https:\/\/www.grabon.in\/indulge\/tech\/gemini-users-statistics\/\"><span style=\"font-weight: 400;\">Gemini<\/span><\/a><span style=\"font-weight: 400;\"> apps were downloaded roughly 2.6 million and 783,632 times within their first launch month. According to the latest data, DeepSeek was ahead of ChatGPT and Gemini in terms of app downloads in its launch window.<\/span><\/p>\n<h3><b>DeepSeek AI Downloads by Country<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Since the DeepSeek AI app launch on the App Store and Play Store, its download numbers have skyrocketed worldwide, with China, the United States, and India leading the list.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>34%<\/b><span style=\"font-weight: 400;\"> of the DeepSeek app downloads on iOS are from <\/span><b>China<\/b><span style=\"font-weight: 400;\">, followed by <\/span><b>India<\/b><span style=\"font-weight: 400;\"> and the <\/span><b>Russian Federation,<\/b><span style=\"font-weight: 400;\"> with <\/span><b>8%<\/b><span style=\"font-weight: 400;\"> and 7% respectively.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The table below shows the total number of DeepSeek AI app downloads by country (table based on 175 million downloads by the end of 2025)<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Country<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Share of downloads<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Number of downloads<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">China<\/span><\/td>\n<td><span style=\"font-weight: 400;\">34%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">59 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">India<\/span><\/td>\n<td><span style=\"font-weight: 400;\">8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">14 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Russia<\/span><\/td>\n<td><span style=\"font-weight: 400;\">7%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">12 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">United States<\/span><\/td>\n<td><span style=\"font-weight: 400;\">6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">11 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Pakistan<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">7 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Brazil<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">7 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Indonesia<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">7 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">France<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">United Kingdom<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Other<\/span><\/td>\n<td><span style=\"font-weight: 400;\">27%<\/span><\/td>\n<td><span style=\"font-weight: 400;\"><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/www.statista.com\/statistics\/1454331\/united-states-chatgpt-gemini-app-downloads\/?__sso_cookie_checker=failed\"><span style=\"font-weight: 400;\">Statista<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/appmagic.rocks\/?hl=en\"><span style=\"font-weight: 400;\">AppMagic<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/play.google.com\/store\/search?q=deepseekandc=apps\"><span style=\"font-weight: 400;\">Google Play<\/span><\/a><span style=\"font-weight: 400;\">,<\/span><i><span style=\"font-weight: 400;\"> Business of Apps, Backlinko<\/span><\/i><\/p>\n<h2><b>DeepSeek AI User Demographics Statistics<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Roughly 6 in 10 DeepSeek AI users are male, compared to 39.52% female.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The 25 to 34 age group remains the largest cohort of DeepSeek&#8217;s web user base; on mobile, the 18 to 24 age group dominates, accounting for 44.9% of Android users and 38.7% of iOS users.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Users aged <\/span><b>35 to 44 years<\/b><span style=\"font-weight: 400;\"> account for <\/span><b>20.06%<\/b><span style=\"font-weight: 400;\"> of the DeepSeek user base, while those aged <\/span><b>45 to 54<\/b><span style=\"font-weight: 400;\"> account for <\/span><b>13.21%<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>4.87%<\/b><span style=\"font-weight: 400;\"> of the platform's user base is aged over <\/span><b>65 years<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<h2><b>DeepSeek AI App Store Position Statistics<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Within a week of launch, the <\/span><b>DeepSeek AI<\/b><span style=\"font-weight: 400;\"> app topped the United States App Store&#8217;s Top Free Category, placing the <\/span><b>ChatGPT<\/b><span style=\"font-weight: 400;\"> app <\/span><b>second<\/b><span style=\"font-weight: 400;\">. An app needs over <\/span><b>200,000 <\/b><span style=\"font-weight: 400;\">daily downloads to rank first on the US Apple App Store list. This aligns with the DeepSeek AI app download statistics mentioned above.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In June 2025, the DeepSeek app is in the <\/span><b>39th position<\/b><span style=\"font-weight: 400;\"> in the App Store&#8217;s Top Free Apps list in around <\/span><b>60 countries<\/b><span style=\"font-weight: 400;\"> worldwide.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>80%<\/b><span style=\"font-weight: 400;\"> of the app's downloads happened in the first 10 days of its launch, boosting its rank from <\/span><b>815th<\/b><span style=\"font-weight: 400;\"> on January 19th to <\/span><b>1st<\/b><span style=\"font-weight: 400;\"> on January 31st, 2025.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">At its peak in January 2026, DeepSeek ranked #1 on the App Store across over 156 countries, per Backlinko.<\/span><\/li>\n<\/ul>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/appmagic.rocks\/?hl=en\"><span style=\"font-weight: 400;\">AppMagic<\/span><\/a><span style=\"font-weight: 400;\">,<\/span><span style=\"font-weight: 400;\"> Backlinko.<\/span><\/p>\n<h2><b>DeepSeek AI Google Trends Statistics<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Google Trends data shows that <\/span><b>DeepSeek search<\/b><span style=\"font-weight: 400;\"> surged in the U.S. within 20 days of launch, reaching about <\/span><b>100 million searches<\/b><span style=\"font-weight: 400;\">. In comparison, <\/span><b>ChatGPT<\/b><span style=\"font-weight: 400;\"> recorded over <\/span><b>700 million searches<\/b><span style=\"font-weight: 400;\"> during the same period.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the United States, the District of Columbia tops the DeepSeek search list, followed by California, New Jersey, Washington, and Maryland. In comparison, Myanmar, Nepal, Ethiopia, Pakistan, and Kenya were the top 5 countries where DeepSeek AI was searched the most.<\/span><\/p>\n<h2><b>DeepSeek AI Traffic Statistics<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">As of <\/span><span style=\"font-weight: 400;\">March 2026<\/span><span style=\"font-weight: 400;\">, deepseek.com received over <\/span><span style=\"font-weight: 400;\">350.8 million<\/span><span style=\"font-weight: 400;\"> visits worldwide, a <\/span><span style=\"font-weight: 400;\">6.69% increase from the prior month<\/span><span style=\"font-weight: 400;\">. The website ranks <\/span><span style=\"font-weight: 400;\">4th in the AI Chatbots and Tools category and 118th worldwide<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">DeepSeek AI&#8217;s traffic is 81.63% from desktops and 18.37% from mobile web.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">The website&#8217;s average daily traffic is roughly 11.3 million, and an average session lasts around 5 minutes and 2 seconds.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">The bounce rate of DeepSeek AI&#8217;s website is about 38.08%.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">China contributes roughly 44.17% of deepseek.com&#8217;s total traffic, the highest of all countries.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Russia and the U.S. rank second and third, accounting for 10.35% and 5.68% of traffic, respectively.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Hong Kong ranks fourth with a 3.65% traffic share, while Brazil ranks fifth, contributing 3.19%.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">73.04% of deepseek.com&#8217;s desktop traffic comes from direct visits, while the remainder is split between organic search and referrals.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">The top organic search terms for deepseek.com are deepseek, deep seek, deepseek r1, deepseek ai, and deepseek v3.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">YouTube contributes around 59.79% of the traffic share of DeepSeek&#8217;s website, followed by WhatsApp and Facebook with 10.97% and 6.31%, respectively.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">VKontakte and Telegram Webapp rank fourth and fifth, accounting for 5.49% and 3.34% of the traffic share, respectively.<\/span><\/li>\n<\/ul>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/pro.similarweb.com\/#\/digitalsuite\/websiteanalysis\/overview\/website-performance\/*\/999\/28d?webSource=Totalandkey=deepseek.com\"><span style=\"font-weight: 400;\">SimilarWeb<\/span><\/a><\/p>\n<h2><b>DeepSeek AI vs. OpenAI Comparison Statistics<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Studies conducted at DeepSeek-R1&#8217;s January 2025 launch showed that the DeepSeek-R1 model performed similarly to the OpenAI-o1-1217 model in reasoning tasks. The DeepSeek-R1-Zero model, trained through large-scale reinforcement, showcased impressive reasoning skills and powerful, intriguing behaviors. DeepSeek demonstrated comparable performance to OpenAI, often surpassing it in certain scenarios. Here are some interesting statistics data showcasing the comparison between DeepSeek and OpenAI in different benchmarks.<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>AIME-2024<\/b><span style=\"font-weight: 400;\"> performance, <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>79.8%<\/b><span style=\"font-weight: 400;\">, slightly higher than <\/span><b>79.2%<\/b><span style=\"font-weight: 400;\"> of <\/span><b>OpenAI-o1-1217<\/b><span style=\"font-weight: 400;\">. <\/span><b>DeepSeek-R1-32B<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>72.6%<\/b><span style=\"font-weight: 400;\">, while <\/span><b>OpenAI-o1-mini<\/b><span style=\"font-weight: 400;\">, and <\/span><b>DeepSeek-V3<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>63.6%<\/b><span style=\"font-weight: 400;\"> and <\/span><b>39.2%<\/b><span style=\"font-weight: 400;\">, respectively.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>Codeforces<\/b><span style=\"font-weight: 400;\"> performance, <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> and <\/span><b>OpenAI-o1-1217<\/b><span style=\"font-weight: 400;\"> performed on par with <\/span><b>96.3%<\/b><span style=\"font-weight: 400;\"> and <\/span><b>96.6%<\/b><span style=\"font-weight: 400;\"> scores, respectively.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>GPQA Diamond<\/b><span style=\"font-weight: 400;\"> performance, <\/span><b>OpenAI-o1-1217<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>75.7%<\/b><span style=\"font-weight: 400;\">, performing better than <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> with <\/span><b>71.5%<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>MATH-500<\/b><span style=\"font-weight: 400;\"> performance, <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>97.3%<\/b><span style=\"font-weight: 400;\">, higher than <\/span><b>OpenAI-o1-1217<\/b><span style=\"font-weight: 400;\"> with <\/span><b>96.4%<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>MMLU<\/b><span style=\"font-weight: 400;\"> performance, <\/span><b>OpenAI-o1-1217<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>91.8%<\/b><span style=\"font-weight: 400;\">, slightly higher than <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> with <\/span><b>90.8%<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>SWE-bench Verified<\/b><span style=\"font-weight: 400;\"> performance, <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> and <\/span><b>OpenAI-o1-1217<\/b><span style=\"font-weight: 400;\"> performed similarly with <\/span><b>49.2%<\/b><span style=\"font-weight: 400;\"> and <\/span><b>48.9%<\/b><span style=\"font-weight: 400;\">, respectively.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The table below shows the benchmark performance data of DeepSeek-R1 vs. OpenAI-o1-1217 vs. DeepSeek-R1-32B vs. OpenAI-o1-mini vs. DeepSeek-V3.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Benchmarks<\/b><\/td>\n<td><b>DeepSeek-R1<\/b><\/td>\n<td><b>OpenAI-o1-1217<\/b><\/td>\n<td><b>DeepSeek-R1-32B<\/b><\/td>\n<td><b>OpenAI-o1-mini<\/b><\/td>\n<td><b>DeepSeek-V3<\/b><\/td>\n<td><b>Winner<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>AIME-2024<\/b><\/td>\n<td><span style=\"font-weight: 400;\">79.8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">79.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">72.6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">63.6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">39.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DeepSeek<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Codeforces<\/b><\/td>\n<td><span style=\"font-weight: 400;\">96.3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">96.6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">90.6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">93.4%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">58.7%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">OpenAI<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>GPQA Diamond<\/b><\/td>\n<td><span style=\"font-weight: 400;\">71.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">75.7%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">62.1%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">60%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">59.1%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">OpenAI<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>MATH-500<\/b><\/td>\n<td><span style=\"font-weight: 400;\">97.3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">96.4%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">94.3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">90%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">90.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DeepSeek<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>MMLU<\/b><\/td>\n<td><span style=\"font-weight: 400;\">90.8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">91.8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">87.4%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">85.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">88.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">OpenAI<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>SWE-bench Verified<\/b><\/td>\n<td><span style=\"font-weight: 400;\">49.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">48.9%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">36.8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">41.6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">42%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">DeepSeek<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/pdf\/2501.12948\"><span style=\"font-weight: 400;\">Arxiv<\/span><\/a><\/p>\n<h2><b>DeepSeek vs. Gemini vs. Qwen vs. GPT4o Benchmark Comparison Statistics<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Like DeepSeek, Qwen is another large language model launched by another Chinese brand, Alibaba Cloud. It was launched in April 2023 and handles multiple tasks, such as natural language understanding, generation, and visual language processing.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Qwen is built on Meta&#8217;s Llama model and has evolved with various updates, including Qwen 2.5-Max, launched in January 2025. Like DeepSeek, it offers open-source versions, allowing developers to modify and use them for multiple tasks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Below, we have compared the january 2025 benchmark scores of DeepSeek, Gemini, Qwen, and GPT4o models.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Benchmarks<\/b><\/td>\n<td><b>DeepSeek-R1<\/b><\/td>\n<td><b>Gemini 1.5 Pro (002)<\/b><\/td>\n<td><b>Qwen2.5-Max<\/b><\/td>\n<td><b>GPT-4o<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>MMLU<\/b><\/td>\n<td><span style=\"font-weight: 400;\">90.8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">87.9%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">88.7%<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>MMLU-Pro<\/b><\/td>\n<td><span style=\"font-weight: 400;\">84%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">75.8%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">69%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">74.68%<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>BBH<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">89.3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>C-Eval<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">92.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>CMMLU<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">91.9%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>MMMU<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">65.9%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">69.1%<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>HellaSwag<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">93.3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>HumanEval<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">84.1%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">73.2%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">90.2%<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>MBPP<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">80.6%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>CRUX-I<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">70.1%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>CRUX-O<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">79.1%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>MATH<\/b><\/td>\n<td><span style=\"font-weight: 400;\">97.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">86.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">68.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">75.9%<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>GPQA<\/b><\/td>\n<td><span style=\"font-weight: 400;\">71.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">59.1%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">53.6%<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>GSM8K<\/b><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">94.5%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>IFEval<\/b><\/td>\n<td><span style=\"font-weight: 400;\">83.3%<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<td><span style=\"font-weight: 400;\">NA<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li><span style=\"font-weight: 400;\">In the <\/span><b>MMLU-Pro<\/b><span style=\"font-weight: 400;\"> benchmark, <\/span><b>DeepSeek-R1<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>84%<\/b><span style=\"font-weight: 400;\">, higher than <\/span><b>Qwen2.5-Max<\/b><span style=\"font-weight: 400;\"> and <\/span><b>GPT-4o<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><b>Qwe2.5-Max<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>89.4% <\/b><span style=\"font-weight: 400;\">in the <\/span><b>Arena-Hard<\/b><span style=\"font-weight: 400;\"> benchmark, higher than <\/span><b>DeepSeek-V3<\/b><span style=\"font-weight: 400;\"> and <\/span><b>GPT-4o<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">In the LiveBench benchmark, <\/span><b>Qwe2.5-Max<\/b><span style=\"font-weight: 400;\"> scored <\/span><b>62.2%<\/b><span style=\"font-weight: 400;\">, higher than <\/span><b>DeepSeek-V3<\/b><span style=\"font-weight: 400;\"> and <\/span><b>GPT-4o<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/qwenlm.github.io\/blog\/qwen2.5-max\/\"><span style=\"font-weight: 400;\">Qwen<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/docsbot.ai\/models\/gemini-1-5-pro-002\"><span style=\"font-weight: 400;\">DocBot 1<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/docsbot.ai\/models\/gpt-4o-2024-11-20\"><span style=\"font-weight: 400;\">DocsBot 2<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/docsbot.ai\/models\/deepseek-r1\"><span style=\"font-weight: 400;\">DocsBot 3<\/span><\/a><\/p>\n<h2><b>DeepSeek AI Cost Comparison Against Other AI Models<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">According to the official DeepSeek API documentation as of June 2026, the input cost for processing tokens of the flagship DeepSeek-V4-Pro is $0.435 per million tokens (cache miss). Its output cost for tokens generated by the model is $0.87 per million tokens. The cheaper DeepSeek-V4-Flash variant is priced even lower at $0.14 per million input tokens and $0.28 per million output tokens.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In comparison, the input cost for processing tokens of OpenAI&#8217;s GPT-5.5 is $5.00 per million tokens, while the output cost is $30.00 per million tokens. Whereas, the price for similar tasks of Anthropic&#8217;s Claude Opus 4.7 is $5.00 per million tokens (input cost) and $25.00 per million tokens (output cost).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">DeepSeek-V4-Pro has a significantly lower input and output token cost than GPT-5.5 and Claude Opus 4.7. The table below shows the price of input and output tokens of the top AI models as of June 2026:<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Models<\/b><\/td>\n<td><b>Input Token Cost (Per Million Tokens)<\/b><\/td>\n<td><b>Output Token Cost (Per Million Tokens)<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">OpenAI GPT-5.5<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$5.00<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$30.00<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Claude Opus 4.7<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$5.00<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$25.00<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Claude Sonnet 4.6<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$3.00<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$15.00<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Gemini 2.5 Pro<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$1.25<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$10.00<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Amazon Nova Pro<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.80<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$3.20<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Meta Llama 4 (405B)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$1.79<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$1.79<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">DeepSeek-V4-Pro<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.435<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.87<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">DeepSeek-V4-Flash<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.14<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.28<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Source:<\/b> <i><span style=\"font-weight: 400;\">DeepSeek API documentation, CloudZero, official model pricing pages.<\/span><\/i><\/p>\n<h2><b>Impact of DeepSeek Launch in the United States Stock Market<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The launch of DeepSeek triggered a sharp selloff in the U.S. stock market, particularly in the tech sector. Here are some interesting statistical points you should know:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Since the launch of the DeepSeek AI app, the US market has lost <\/span><b>$1 trillion,<\/b><span style=\"font-weight: 400;\"> with top tech companies like Nvidia, Microsoft, and Google facing major declines.<\/span><\/li>\n<li><b>Nvidia<\/b><span style=\"font-weight: 400;\"> suffered a massive loss from this launch, with its stock plunging <\/span><b>17%<\/b><span style=\"font-weight: 400;\">, wiping out nearly <\/span><b>$600 billion<\/b><span style=\"font-weight: 400;\"> in market value. Whereas <\/span><b>Microsoft<\/b><span style=\"font-weight: 400;\">&#8216;s stock fell by <\/span><b>2.14%<\/b><span style=\"font-weight: 400;\">, while <\/span><b>Google<\/b><span style=\"font-weight: 400;\">&#8216;s dropped by <\/span><b>4%<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">The SandP 500 tech sector also dropped by a staggering <\/span><b>5.6%<\/b><span style=\"font-weight: 400;\">, marking its biggest decline since <\/span><b>September 2020<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Despite initial criticism, the wider availability of efficient AI models like DeepSeek is set to drive market growth, boosting innovation and productivity across sectors in the medium term.<\/span><\/p>\n<p><b>Source:<\/b> <a rel=\"nofollow\" href=\"https:\/\/www.msn.com\/en-us\/money\/markets\/deepseek-s-1-trillion-stock-market-crash-nvidia-tsmc-and-broadcom-recover-some-losses-after-ai-shock\/ar-AA1y44kX\"><span style=\"font-weight: 400;\">MSN<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/www.usnews.com\/news\/business\/articles\/2025-01-27\/how-chinas-deepseek-shook-up-us-markets-by-the-numbers\"><span style=\"font-weight: 400;\">U.S.News<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/www.cbsnews.com\/news\/what-is-deepseek-ai-china-stock-nvidia-nvda-asml\/\"><span style=\"font-weight: 400;\">CBS News<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a rel=\"nofollow\" href=\"https:\/\/finance.yahoo.com\/news\/deepseek-damage-google-microsoft-stock-213336307.html\"><span style=\"font-weight: 400;\">Yahoo Finance<\/span><\/a><\/p>\n<h2><b>Drawbacks and Controversies of DeepSeek in 2025-2026<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">DeepSeek's launch has sparked controversy due to censorship, data privacy concerns, and disinformation risks. Here are some controversies and concerns of the platform you must know:<\/span><\/p>\n<ul>\n<li><b>Censorship and Bias:<\/b><span style=\"font-weight: 400;\"> DeepSeek has faced criticism for aligning with Chinese government narratives. It avoids discussing sensitive topics like the Tiananmen protests and the Cultural Revolution, which raises concerns about censorship and biased responses.<\/span><\/li>\n<li><b>Data Privacy Issues:<\/b><span style=\"font-weight: 400;\"> DeepSeek collects extensive user data, including keystroke patterns for biometric identification. This level of data collection is seen as intrusive, sparking concerns over privacy and security.<\/span><\/li>\n<li><b>Disinformation Risks:<\/b><span style=\"font-weight: 400;\"> Experts warn that DeepSeek could be used to spread disinformation, undermine public trust, and reinforce authoritarian narratives, particularly in democratic societies.<\/span><\/li>\n<\/ul>\n<h2><b>Conclusion (Future Predictions of DeepSeek)<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The launch of DeepSeek has undoubtedly disrupted the AI industry. With major tech companies losing billions of dollars, this shows how disruptive it was. The company challenges major players like OpenAI and Google with its cost-effective and efficient models. Its open-source approach has made AI accessible to all. With Alibaba launching Qwen, it is predicted that various Chinese and other countries' companies will launch AI models in the future, ending the dominance of US tech giants. However, concerns about data privacy and misuse persist with Chinese platforms.<\/span><\/p>\n<h2><b>FAQs<\/b><\/h2>\n<p><b>1) Is DeepSeek better than ChatGPT?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">The comparison between DeepSeek and ChatGPT depends on specific use cases. According to benchmark performance, DeepSeek is better than ChatGPT in some scenarios. However, the major difference is in the operating cost. DeepSeek is much cheaper to operate than ChatGPT.<\/span><\/p>\n<p><b>2) Who is the owner of DeepSeek?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">DeepSeek is owned and funded by the Chinese hedge fund High-Flyer. The company was founded by Liang Wenfeng in 2023.<\/span><\/p>\n<p><b>3) Is DeepSeek free?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">DeepSeek offers free access to its AI models, like DeepSeek-V3 and R1. You can access its services for free through its official website, and the DeepSeek app is available for free download on both the Apple App Store and Google Play Store<\/span><\/p>\n<p><b>4) What chips does DeepSeek use?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">DeepSeek primarily uses NVIDIA GPUs for its models. Due to the chip ban, it uses Nvidia&#8217;s H800 chips, which it could have purchased legally in 2023. The brand also has access to Nvidia&#8217;s less powerful H20 chips, and as of 2026 has also been encouraged by Chinese authorities to adopt Huawei Ascend chips for inference workloads.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>DeepSeek AI went live in January 2025 and became an instant hit, ranking #1 on the App Store in the top free app category, pushing ChatGPT to the 2nd position in the United States. Its app has been downloaded over 23 million times worldwide across all app stores within 19 days of launch, making it &hellip;<\/p>\n","protected":false},"author":19,"featured_media":10434,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[58],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>DeepSeek AI User Statistics and Facts (2025)<\/title>\n<meta name=\"description\" content=\"Explore DeepSeek AI\u2019s user statistics: 10M+ downloads, 173.8M site visits, and #1 App Store ranking, surpassing ChatGPT in January 2025 worldwide usage.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/grabon.com\/blog\/deepseek-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DeepSeek AI User Statistics and Facts (2025)\" \/>\n<meta property=\"og:description\" content=\"Explore DeepSeek AI\u2019s user statistics: 10M+ downloads, 173.8M site visits, and #1 App Store ranking, surpassing ChatGPT in January 2025 worldwide usage.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/grabon.com\/blog\/deepseek-statistics\/\" \/>\n<meta property=\"og:site_name\" content=\"GrabOn Blog - Powered by GrabOn.com\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-13T19:43:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-14T11:07:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.grabon.com\/gograbonus\/blog\/wp-content\/uploads\/DeepSeek-AIStatistics-in.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"480\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Tushar R Behera\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tushar R Behera\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"13 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/grabon.com\/blog\/deepseek-statistics\/\",\"url\":\"https:\/\/grabon.com\/blog\/deepseek-statistics\/\",\"name\":\"DeepSeek AI User Statistics and Facts (2025)\",\"isPartOf\":{\"@id\":\"https:\/\/grabon.com\/blog\/#website\"},\"datePublished\":\"2026-07-13T19:43:55+00:00\",\"dateModified\":\"2026-07-14T11:07:14+00:00\",\"author\":{\"@id\":\"https:\/\/grabon.com\/blog\/#\/schema\/person\/48075c76bf8c140bdaef8aedf38c7cff\"},\"description\":\"Explore DeepSeek AI\u2019s user statistics: 10M+ downloads, 173.8M site visits, and #1 App Store ranking, surpassing ChatGPT in January 2025 worldwide usage.\",\"breadcrumb\":{\"@id\":\"https:\/\/grabon.com\/blog\/deepseek-statistics\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/grabon.com\/blog\/deepseek-statistics\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/grabon.com\/blog\/deepseek-statistics\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/grabon.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"DeepSeek AI User Statistics and Facts (2025)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/grabon.com\/blog\/#website\",\"url\":\"https:\/\/grabon.com\/blog\/\",\"name\":\"GrabOn Blog - Powered by GrabOn.com\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/grabon.com\/blog\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/grabon.com\/blog\/#\/schema\/person\/48075c76bf8c140bdaef8aedf38c7cff\",\"name\":\"Tushar R Behera\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/grabon.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/26638b71c5f1afeffbd5f90a31ef1775?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/26638b71c5f1afeffbd5f90a31ef1775?s=96&d=mm&r=g\",\"caption\":\"Tushar R Behera\"},\"description\":\"Tushar is a reader and a good observer, which he reflects in his writings to make his content more authentic.He has a knack for choosing interesting and informative topics to write about, making his writing all the more enjoyable. 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