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DeepSeek's revenue run rate hits $1 billion ahead of $7.5 billion funding round

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DeepSeek's revenue run rate hits $1 billion ahead of $7.5 billion funding round

DeepSeek's annualized revenue run rate has reached $1 billion, more than double the under-$500 million pace it was running at just a few months earlier, according to figures CEO Liang Wenfeng shared with investors as the company finalizes a new funding round and prepares to list on the Shanghai Stock Exchange.

The company generated roughly $70.7 million (about 475 million yuan) in actual revenue over the first seven months of 2026 — a figure that, annualized and extrapolated against recent growth, points to the reported $1 billion run rate. That represents close to a tenfold increase from 2025 levels, a growth rate unusual even by AI-industry standards.

The jump comes despite — not because of the absence of — a significant price increase. DeepSeek raised prices on its models by 2.3 to 4.5 times last month, with peak-hour pricing on its flagship V4 models quadrupling previous rates. Liang told investors the price hike did not meaningfully shrink DeepSeek's customer base, even as the company's API pricing remains among the cheapest available from any major model provider. That combination — higher prices, stable demand — suggests DeepSeek had been pricing well below what the market would bear, a common pattern for challengers using aggressive pricing to build market share before normalizing rates once demand is established.

DeepSeek is now targeting roughly $7.5 billion (50 billion yuan) in its second funding round, which would value the company at approximately $75 billion (500 billion yuan). The round is expected to close ahead of a planned initial public offering on the Shanghai Stock Exchange, which would make DeepSeek one of the highest-profile domestic AI listings in China to date.

The revenue and valuation trajectory matters beyond DeepSeek's own balance sheet. The company became a global reference point in early 2025 when its low-cost, high-efficiency training approach forced a reassessment of how much compute frontier AI models actually require, rattling US AI infrastructure stocks in the process. A successful IPO at a $75 billion valuation would cement DeepSeek's position as China's most commercially validated AI lab, at a moment when Chinese AI companies including Alibaba, Zhipu, and Moonshot AI are all racing to demonstrate that domestic models can compete commercially, not just technically, with US frontier labs.

The price increase itself is also a signal worth watching: it suggests DeepSeek believes its models have reached enough of a quality and adoption threshold that customers will tolerate paying closer to market rates — a maturation point that, if it holds, marks a shift from the subsidized-pricing land-grab phase of Chinese AI competition toward one where domestic labs compete on sustainable unit economics.

Originally reported by PYMNTS. Read the original article for additional details.

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