DeepSeek Reveals V3/R1 Revenue with 545% Profit Margin

DeepSeek recently released a comprehensive article revealing critical details about its V3 and R1 AI inference systems, including theoretical costs and profit margins. This marks the first time DeepSeek has disclosed such key financial insights.

According to the report, all DeepSeek V3 and R1 services operate on H800 GPUs, maintaining training-level precision to ensure optimal performance. The system also employs dynamic resource allocation around the clock to maximize hardware utilization.

Based on estimates, assuming a GPU rental cost of $2 per hour, DeepSeek's total daily operational cost is approximately $87,072. If all processed tokens were billed at DeepSeek R1's pricing model, the theoretical daily revenue could reach $562,027, resulting in a potential cost-profit ratio of 545%. However, actual revenue is lower due to V3’s lower pricing, partial monetization, and nighttime discounts.

DeepSeek's high profitability is driven by its innovative inference system architecture, built on three core technologies: large-scale cross-node expert parallelism (EP), computation-communication overlap, and load-balancing optimization. Additionally, DeepSeek further reduces operational costs through strategic engineering—prioritizing inference services during peak hours and utilizing idle nighttime resources for research and model training.

With its cutting-edge technological design and precise resource allocation strategies, DeepSeek has achieved exceptional operational efficiency and significant profitability, reinforcing its strong position in the AI inference sector.