πŸ€–AIStats

DeepSeek AI Statistics 2026: Model Performance, Users & Market Impact

πŸ“…Last updated: June 6, 2026

DeepSeek, founded in 2023 by Chinese hedge fund High-Flyer Quant, has emerged as one of the most disruptive forces in the global AI landscape. Headquartered in Hangzhou, China, the company stunned the technology world in January 2025 when its DeepSeek R1 reasoning model β€” built for a fraction of the cost of Western competitors β€” matched or exceeded the performance of OpenAI's most advanced models on key benchmarks. The release triggered a sell-off in U.S. tech stocks, wiping hundreds of billions from the market capitalizations of NVIDIA, Microsoft, and other AI infrastructure companies, and forced a global rethinking of the capital-intensive approach to AI development.

What makes DeepSeek remarkable is its commitment to open-source development and extreme cost efficiency. DeepSeek V3, a 671-billion parameter Mixture-of-Experts (MoE) model, was trained for approximately $5.6 million using NVIDIA H800 chips β€” GPUs that are less powerful than the H100s used by OpenAI and Google due to U.S. export restrictions. Despite these hardware limitations, DeepSeek pioneered innovations in multi-head latent attention and auxiliary-loss-free load balancing that enabled it to achieve frontier-level performance. By 2026, DeepSeek's mobile app has surpassed 200 million users, its API processes over 50 billion tokens per day, and its open-source models have garnered over 100,000 stars on GitHub, making it the most influential open-source AI project in the world.

⚑ Key Takeaways

πŸ“ŠThe DeepSeek mobile app surpassed 100 million downloads with…
100

Source: Statista

πŸ“ŠDeepSeek V3 was trained for approximately $5.6 million in co…
5.6

Source: TechCrunch

πŸ“ŠDeepSeek R1 matches OpenAI o1's performance on math and codi…
97.3%

Source: TechCrunch

πŸ“ŠDeepSeek API processes over 50 billion tokens per day as of …
50

Source: Statista

πŸ“ˆ Market Size Over Time

πŸ“Š More Data Points

  • β€’

    DeepSeek V3 is a 671-billion parameter Mixture-of-Experts (MoE) model that activates only 37 billion parameters per token, enabling high efficiency during both training and inference.

    Source: TechCrunch

  • β€’

    DeepSeek V3 achieves 90.8% on the MMLU benchmark (Massive Multitask Language Understanding), placing it within 1.5 percentage points of GPT-4o and ahead of most open-source alternatives.

    Source: TechCrunch

  • β€’

    DeepSeek V3 scores 96.3% on the HumanEval coding benchmark, surpassing GPT-4 (67.0%) and Claude 3.5 Sonnet (92.0%) on code generation tasks.

    Source: TechCrunch

  • β€’

    DeepSeek R1 scores 97.3% on the MATH benchmark, exceeding OpenAI o1 (96.4%) and establishing a new state-of-the-art for open-source models on mathematical reasoning.

    Source: TechCrunch

  • β€’

    DeepSeek open-source models have accumulated over 100,000 stars on GitHub, making DeepSeek the most-starred AI organization on the platform and surpassing Meta AI (Llama) in community engagement.

    Source: TechCrunch

  • β€’

    DeepSeek API pricing starts at $0.14 per million input tokens and $0.28 per million output tokens for DeepSeek V3 β€” up to 90% cheaper than OpenAI GPT-4o ($2.50 / $10.00) and significantly below Google Gemini pricing.

    Source: Bloomberg Intelligence

  • β€’

    DeepSeek holds an estimated 35% market share of the Chinese AI assistant market in 2026, making it the leading domestic AI platform ahead of Baidu Ernie (20%) and Alibaba Qwen (18%).

    Source: Statista

  • β€’

    The January 2025 DeepSeek R1 release triggered a $1 trillion sell-off in U.S. technology stocks, with NVIDIA alone losing $589 billion in market capitalization β€” the largest single-day loss for any company in stock market history.

    Source: Reuters

  • β€’

    DeepSeek V3 was trained on a cluster of 2,048 NVIDIA H800 GPUs in under two months, leveraging innovations in multi-head latent attention (MLA) and auxiliary-loss-free load balancing to maximize training efficiency.

    Source: TechCrunch

❓ Frequently Asked Questions

What is DeepSeek?+
DeepSeek is a Chinese artificial intelligence company founded in 2023 by High-Flyer Quant, a hedge fund based in Hangzhou. It develops large language models, including the DeepSeek V3 foundation model and the DeepSeek R1 reasoning model, and has gained global attention for achieving frontier-level AI performance at a fraction of the cost of competitors like OpenAI and Google.
Is DeepSeek free to use?+
Yes, DeepSeek offers free access to its models through the DeepSeek chat application and provides free API credits for developers. The company also open-sources its model weights on platforms like Hugging Face, allowing anyone to run DeepSeek models locally or on their own infrastructure at no cost.
How does DeepSeek compare to GPT-4 and OpenAI models?+
DeepSeek R1 matches or exceeds OpenAI o1 on mathematical reasoning (MATH benchmark: 97.3% vs 96.4%), coding tasks (HumanEval: 96.3% vs 95.1%), and general knowledge (MMLU: 90.8% vs 92.0%). DeepSeek V3 achieves comparable performance to GPT-4o on most benchmarks while being significantly cheaper to run, with API costs up to 90% lower than OpenAI pricing.
Is DeepSeek open source?+
Yes, DeepSeek releases its model weights, training code, and technical reports openly. DeepSeek V3 and R1 model weights are available on Hugging Face under the MIT License, making them among the most permissively licensed frontier AI models. The DeepSeek repository on GitHub has accumulated over 100,000 stars, making it one of the most popular open-source AI projects in history.

πŸ”— Related Statistics

πŸ“‹ Sources

  1. [1] Statista
  2. [2] Bloomberg Intelligence
  3. [3] Reuters
  4. [4] TechCrunch