DeepSeek hits $1 billion revenue run rate as Chinese AI startup targets $7.5 billion raise

DeepSeek has crossed a major financial milestone. The Chinese AI startup has reached a $1 billion annualized revenue run rate, more than doubling its pace from just a few months ago as demand for its models and higher prices turn last year’s breakout into a sizable business.

The Information reported the figure Thursday, citing two people with direct knowledge of the matter. CEO Liang Wenfeng disclosed the revenue number during a recent investor meeting, according to the report.

“DeepSeek’s annualized revenue run rate has hit $1 billion, more than double the rate of a few months ago, buoyed by a recent price hike as well as continued popularity of its models,” The Information reported.

A $1 billion run rate does not mean DeepSeek has already booked $1 billion over the past year. It means the company is currently generating revenue at a pace that would produce roughly $1 billion over 12 months if sustained.

That distinction matters, but so does the speed of the increase.

DeepSeek’s revenue run rate has more than doubled in months, according to The Information. Part of that jump came after the company raised model prices by roughly 2.3 to 4.5 times. Continued demand for its AI models contributed to the increase.

DeepSeek is turning its AI breakthrough into a business

DeepSeek became one of the biggest surprises in AI after releasing models that challenged assumptions about how much money and computing infrastructure it would take to compete with leading U.S. AI labs.

The revenue numbers suggest the company is entering a new phase.

As TechStartups reported back in August, DeepSeek is pursuing a second funding round targeting 50 billion yuan, or roughly $7.45 billion, at a reported valuation of 500 billion yuan, according to The Information. The company aims to complete the financing by the end of October.

An IPO could follow.

Reuters also reported earlier this month that DeepSeek hired CITIC Securities to prepare for a potential listing on Shanghai’s STAR Market. The timing, valuation and size of any IPO remain undecided.

DeepSeek’s financial growth comes as it continues putting most of its computing resources back into model development. Liang reportedly told investors that more than 70% of the company’s computing capacity is allocated to training new models, leaving less than 30% for inference, the process of serving existing models to users.

That split offers a glimpse into where DeepSeek believes the larger opportunity lies. Rather than shifting most of its infrastructure toward serving current demand, the company is still betting heavily on the next generation of models.

Earlier this month, DeepSeek released DeepSeek-V4.1-Flash, its latest model, which the company says offers faster inference, higher throughput, and support for scaling to larger models.

The bigger story may be how much DeepSeek has changed since its arrival on the global stage. Last year, the company forced Silicon Valley to reconsider whether competitive AI models required enormous budgets and vast computing clusters.

Now the question is different.

DeepSeek has shown that a Chinese AI lab can attract global attention with its models. A $1 billion revenue run rate, a multibillion-dollar fundraising effort and preparations for a potential public listing will test whether it can turn that technical momentum into one of China’s largest new AI businesses.