In the rapidly evolving world of artificial intelligence, DeepSeek, a Chinese AI firm, has emerged as a disruptive force, challenging the dominance of U.S. tech giants with its low-cost, open-source large language models (LLMs). Founded in 2023, DeepSeek has quickly risen to global prominence, reshaping the AI landscape and raising alarms in the U.S. about the future of technological supremacy. Here’s everything you need to know about DeepSeek in 2025.

What is DeepSeek?

DeepSeek is an AI development company based in Hangzhou, China, founded by Liang Wenfeng, a graduate of Zhejiang University. Initially operating under the umbrella of High-Flyer, a quantitative hedge fund, DeepSeek has grown into an independent AI research lab. The company focuses on developing open-source LLMs that are not only cost-effective but also highly efficient, challenging the notion that cutting-edge AI requires massive financial and technical resources.

DeepSeek gained global attention in January 2025 with the release of its R1 reasoning model, which outperformed many proprietary models at a fraction of the cost. The company’s AI assistant app quickly topped the Apple App Store, surpassing OpenAI’s ChatGPT and triggering a significant stock market sell-off in U.S. tech stocks.

DeepSeek’s Rise to Prominence

DeepSeek’s success can be attributed to its innovative approach to AI development. Unlike U.S. tech giants that rely on massive investments and proprietary technologies, DeepSeek has focused on open-source models and cost efficiency. Here’s how DeepSeek is disrupting the industry:

Low-Cost Development:
DeepSeek claims to have developed its R1 model for less than $6 million, a stark contrast to the hundreds of millions spent by U.S. companies like OpenAI. This cost efficiency has made DeepSeek’s models accessible to a broader audience, including startups and researchers.
Open-Source Philosophy:
DeepSeek’s commitment to open-source licensing allows developers and organizations to use its models freely, fostering innovation and collaboration. This approach has positioned DeepSeek as a leader in democratizing AI technology.
Advanced Reasoning Capabilities:
The R1 model, based on DeepSeek-V3, is designed for advanced reasoning tasks, competing directly with OpenAI’s o1 model. DeepSeek’s innovations in reinforcement learning, reward engineering, and knowledge distillation have enabled it to achieve state-of-the-art performance at a lower cost.

Global Accessibility:
DeepSeek’s models are available through a web interface, mobile app, and API, making them accessible to users worldwide. The company’s AI assistant app became the most downloaded app on the Apple App Store within days of its release.

DeepSeek vs. OpenAI: A Comparative Analysis

DeepSeek and OpenAI represent two contrasting approaches to AI development. While OpenAI has focused on proprietary models and broad AI capabilities, DeepSeek has prioritized efficiency, open-source development, and specialized applications.

Aspect	OpenAI	DeepSeek
Founding Year	2015	2023
Headquarters	San Francisco, USA	Hangzhou, China
Development Focus	Broad AI capabilities	Efficient, open-source models
Key Models	GPT-4o, o1	DeepSeek-V3, DeepSeek-R1
Specialized Models	Dall-E (image generation), Whisper (speech recognition)	DeepSeek Coder (coding), Janus Pro (vision model)
API Pricing (per million tokens)	o1: $15 (in p u t),$ 60 (output)	DeepSeek-R1: $0.55 (in p u t),$ 2.19 (output)
Open Source Policy	Limited	Mostly open source
Training Approach	Supervised and instruction-based fine-tuning	Reinforcement learning
Development Cost	Hundreds of millions (estimated)	Less than $6 million (R1 model)

DeepSeek’s Technical Innovations

DeepSeek’s success is built on several groundbreaking innovations:

Reinforcement Learning:
DeepSeek uses large-scale reinforcement learning to train its models, focusing on reasoning tasks and achieving superior performance.

DeepSeek Explained: Everything You Need to Know in 2025