DeepSeek Statistics and Latest Facts 2025
Introduction
DeepSeek Statistics: DeepSeek is a cutting-edge artificial intelligence platform that has swiftly carved out a niche for itself in the competitive AI landscape. Established in 2023 by Liang Wenfeng, a former AI and finance enthusiast, DeepSeek operates from Hangzhou, China, under the aegis of the Chinese hedge fund High-Flyer. The company is known for its open-source large language models (LLMs), which are a pivotal part of its offerings.
DeepSeek stands out due to its commitment to open-source principles, enabling widespread access and modification of its models, fostering innovation across various industries. This approach allows developers, researchers, and businesses to customize and enhance AI applications to suit specific needs without the hefty cost typically associated with high-end AI technologies.
The recent update to DeepSeek introduced a model with 671 billion parameters and used 14.8 trillion tokens during its training phase. This is highlighted on the Hugging Face platform, a well-known repository for transformer models. When we compare these figures to OpenAI’s GPT-4, which boasts over one trillion parameters and was trained using 13 trillion tokens, the differences might seem marginal at first glance. However, the disparity in their development costs is quite stark. DeepSeek V3’s creation required an investment of $5.5 million, significantly less than the over $100 million spent on developing GPT-4.
DeepSeek’s AI models are particularly noted for their structured reasoning capabilities, which make them adept at handling complex, logical tasks more effectively than some existing models. This makes them useful across a diverse range of applications from business automation and customer support to academic research and data analysis. Its cost-effective infrastructure allows for cheaper operation, making advanced AI more accessible to smaller businesses and startups, potentially democratizing the use of high-performance AI.
DeepSeek Overview
| Attribute | Details |
|---|---|
| Name | DeepSeek AI |
| Founder | Liang Wenfeng |
| Founded | 2023 |
| Country | China |
| DeepSeek App Launch | January 10, 2025 |
| Key Innovation | R1 Model: Efficient AI Model Training: Cost Reduction Strategy |
| Training Cost | ~$5.6 million (R1 Model) |
| Hardware Used | ~2,000 Nvidia H800 chips |
| Performance | Top 10 global performers in mathematics, coding, and reasoning assessments |
| Business Model | Open-source model (R1 available for free) |
| Primary Focus Areas | Reasoning, coding, math, and Chinese comprehension. |
DeepSeek AI Statistics 2025
- 14.8 trillion tokens were used to train DeepSeek AI, showcasing its extensive data exposure.
- The model’s training process required 2.788 million hours on H800 GPU units, demonstrating the scale of computational power involved.
- DeepSeek AI has rapidly gained popularity, securing the #1 rank among free productivity apps on the App Store in India.
- Over the past month, DeepSeek AI’s web traffic surged by 160%, reflecting growing user adoption.
- The pricing of DeepSeek models is significantly more affordable compared to OpenAI’s offerings. At just $2.19 per million output tokens, it costs nearly 1/30th of OpenAI’s 01 model, which is priced at $60.00 per million tokens.
- DeepSeek LLM is powered by 67 billion parameters and trained from scratch on a dataset of 2 trillion tokens, covering both English and Chinese.
- The model can remember up to 128,000 tokens at once, enabling it to process and analyze lengthy text documents. In response, it can generate up to 8,000 tokens in a single output.
- The development cost of DeepSeek’s third iteration, DeepSeek-V3, was approximately $5.5 million, making it nearly 1/18th of the reported $100 million cost of OpenAI’s GPT-4.
- In coding benchmarks, DeepSeek-R1 outperformed OpenAI’s 01-1217 in 40% of tests, leading in LiveCodeBench (65.9% vs. 63.4%) and SWE Verified (49.2% vs. 48.9%).
- DeepSeek’s January 2025 launch of R1 had a significant impact on the tech industry, contributing to a 13% pre-market drop in Nvidia’s stock and triggering a broader tech selloff that wiped out over $1 trillion in market capitalization.
- The company operates with a lean team of approximately 200 employees, a stark contrast to OpenAI’s 3,500 employees.
- DeepSeek has garnered immense attention, accumulating 349,800 followers on X.com as of January 27, 2025.
- The platform has also experienced rapid growth, with 10 million+ app downloads, primarily in China, where 39% of iOS downloads originate.
- From October to December 2024, DeepSeek’s website received 18.92 million visits, marking a 163.53% increase in global traffic.
- As of early 2025, there are 68 research papers on arXiv dedicated to DeepSeek’s advancements, highlighting its contributions to AI research.
OpenAI vs. DeepSeek AI
| Feature | OpenAI | DeepSeek |
|---|---|---|
| Founded | 2015 | 2023 |
| API Cost (per million tokens) | $15 for input, $60 for output | $0.55 for input, $2.19 for output |
| Availability | Widely available, with multiple versions including a subscription for advanced features. | Free to use in its basic form, with API costs for professional use. |
| Pricing | Free tier available; Plus and Pro subscriptions offer advanced features at $20/month and higher. | Free chatbot; API usage priced at $0.55 per mission input tokens and $2.19 per million output tokens. |
| Key Features | Advanced chatbot capabilities, multimodal functions (text, image, video), API access, extensive language support. | Strong in structured reasoning, primarily text-based interactions, more limited API, focused on affordability. |
| Model Architecture | Uses proprietary models with frequent updates and enhancements. | Focus on open-source models allowing users to adapt and enhance for specific applications. |
| Use Cases | Broad applications across customer service, content generation, education, etc. | Structured reasoning suits technical, academic, and some business applications. |
| Data Governance | Adheres to international standards with data storage primarily in the US. | Potential concerns due to Chinese data laws and server locations in China. |
DeepSeek AI Timeline
DeepSeek AI Users Statistics
- DeepSeek AI boasts an estimated global user base of 5-6 million users, derived from a comprehensive analysis of cross-data sources.
- As of January 28, 2025, the company’s applications have achieved over 2.6 million downloads, securing a top spot in the Apple App Store rankings across multiple countries on that day.
Interest over time
Search Trends by Region
(DeepSeek AI Google Trend)
User By Age
User Distribution by Age Range
| Age Range | User Distribution |
|---|---|
| 18 to 24 | 22.03% |
| 25 to 34 | 34.47% |
| 35 to 44 | 19.82% |
| 45 to 54 | 13.11% |
| 55 to 64 | 6.43% |
| 65 and Above | 4.14% |
User By Gender
User Distribution by Gender
| Gender | User Distribution |
|---|---|
| Male | 71.57% |
| Female | 28.43% |
source: teachng.com
DeepSeek Global Downloads
Nearly 40% of DeepSeek downloads originated in China, while the US contributed to 16% of the total downloads.
| Country | Users (%) |
|---|---|
| China | 39% |
| United States | 16% |
| India | 10% |
| South Korea | 7% |
| Russia | 6% |
| France | 4% |
| United Kingdom | 3% |
| Brazil | 3% |
| Germany | 3% |
source: AppMagic, businessofapps.com
Engagement Statistics
- DeepSeek’s website received 11.79 million visits early in 2025.
- This number represents a 163.53% increase in traffic from December 2024.
- In India, traffic to the site surged by 291% in just one month.
- Visitors typically spend 5 minutes on the platform.
- Computers, electronics, and technology are the most popular search topics.
- They are followed by interests in news and video games.
Performance Comparison Across Benchmarks
Performance Comparison in Core Language Tasks:
| Benchmark | DeepSeek-V3 | GPT-4 | Improvement |
|---|---|---|---|
| MMLU | 88.5 | 87.2 | +1.3 |
| MMLU-Redux | 89.1 | 88.0 | +1.1 |
| MMLU-Pro | 75.9 | 72.6 | +3.3 |
Reading & Comprehension Skills Comparison
| Test Type | DeepSeek-V3 | GPT-4 | Gain |
|---|---|---|---|
| DROP | 91.6 | 83.7 | +7.9 |
| IF-Eval | 86.1 | 84.3 | +1.8 |
| GPQA-Diamond | 59.1 | 49.9 | +9.2 |
| LongBench v2 | 48.7 | 48.1 | +0.6 |
Source: www.wearetenet.com
Why is DeepSeek so Popular
DeepSeek, the Chinese AI startup, has rapidly gained popularity due to several strategic advantages that distinguish it from competitors like OpenAI’s ChatGPT.
Here’s a breakdown of why DeepSeek stands out:
- Efficient and Cost-Effective AI Model: DeepSeek trained its model using just 2,000 GPUs, far fewer than the 16,000+ GPUs used by competitors. It completed training in 55 days, much faster than industry norms, and kept costs low at $5.58 million, making it one of the most cost-efficient AI models in the market.
- Cost Efficiency: DeepSeek has managed to create high-performing AI at a fraction of the cost typically associated with such technology. For instance, the company claims to have developed its DeepSeek-V3 model for less than $6 million, a stark contrast to the billions typically spent by Western companies like OpenAI and Google.
- Performance and Accessibility: DeepSeek offers its AI applications for free, making it highly accessible to a broad audience. This approach has led to it becoming one of the most downloaded apps in the US, reflecting its high performance and appeal to users who favor cost-effective solutions.
- Innovative Training Techniques: Unlike traditional models that rely heavily on supervised fine-tuning (SFT) and extensive hardware, DeepSeek utilizes Reinforcement Learning (RL) which allows it to achieve similar or superior results with significantly less computational power and cost.
- Open-Source Model: The startup’s commitment to open-source technology enhances its attractiveness among developers and researchers, who can access, modify, and improve upon its models. This openness fosters a collaborative environment conducive to rapid advancements and innovation.
- Market Impact: The rise of DeepSeek has caused significant market reactions, including a tech stock sell-off on January 27, 2025, as investors reassessed the value of large AI vendors based in the U.S. Shares of companies like Nvidia, Microsoft, and Oracle experienced notable declines. Visits to DeepSeek.com soared to 49 million on one Tuesday, marking a 614% increase from the previous week. Just a month prior, daily visits were around 300,000 before skyrocketing to 33.4 million on January 27.
Conclusion
DeepSeek AI has achieved 10 million+ downloads on the Google Play Store, demonstrating strong market penetration and growing user adoption. With an impressive 4.6-star rating from thousands of reviews, the AI assistant has gained widespread approval, indicating high user satisfaction and trust in its technology.
This level of engagement highlights DeepSeek AI’s ability to meet consumer expectations in a highly competitive AI market. The combination of strong download figures and positive ratings suggests that users find the platform both reliable and effective. As AI adoption continues to rise, DeepSeek AI’s rapid growth positions it as a serious player in the industry, competing with top AI solutions in the market.
Refernces:
- https://seo.ai/blog/deepseek-ai-statistics-and-facts
- https://www.wearetenet.com/blog/deepseek-statistics
- https://www.coolest-gadgets.com/deepseek-ai-statistics/
- https://www.demandsage.com/deepseek-statistics/
- https://blog.invgate.com/deepseek-statistics
- https://www.businessofapps.com/data/deepseek-statistics/
- https://www.wildnettechnologies.com/blogs/deepseek-ai-statistics-and-facts
- https://teachng.com/publications/deepseek-statistics/
