DeepSeek has restarted the second funding round it paused just two weeks ago, and this time the Chinese artificial intelligence startup is aiming higher. Citing people familiar with the matter, Bloomberg reported on August 6, 2026 that DeepSeek is seeking to raise close to $8 billion at a valuation of roughly $74 billion. The Information and Reuters corroborated the move, adding that the company also plans to raise prices on its models. The reversal underscores how quickly China's AI labs are shifting from a race to give away capability to a race to turn a profit. Follow the latest AI industry coverage at aibuzzwire.news.
The resumed round marks a sharp turnaround for a company that briefly hit the brakes in late July. On July 25, DeepSeek paused the financing days after unverified comments widely attributed to founder Liang Wenfeng went viral. The supposed transcript described a reliance on Nvidia chips and acknowledged China's ongoing lag behind the United States in AI sophistication. DeepSeek never confirmed the remarks, but the timing was enough to cool investor discussions. Now those talks are back on, and at a richer price.
From Suspension to a Higher Price Tag
DeepSeek's first funding round closed near the end of May, raising $7 billion at a $52 billion valuation. Less than a month later, on July 14, reports surfaced that the company had begun preliminary talks with new investors about a second round that would value it near $71 billion — a 37% jump. The resumed round pushes that target higher again, toward roughly $74 billion, according to Bloomberg.
The bullishness is anchored in product momentum. DeepSeek is described in the reports as "riding high" after releasing its V4 Flash model, which drew attention for its cost-performance tradeoff — the same formula that made the lab famous in early 2025. On July 15, outlets reported that DeepSeek had built an annualized revenue base approaching $500 million, a figure that strengthened its case for raising billions and pursuing a public listing.
Plans to Raise Model Prices
The Information reported that alongside resuming funding talks, DeepSeek plans to hike the prices it charges for its models. The move reflects a broader pivot across Chinese AI companies, which spent much of 2025 and early 2026 undercutting Western labs on price to grab market share. With valuations climbing and investors expecting returns, the era of giveaways is giving way to a profit race.
That shift is not unique to DeepSeek. Rivals including Alibaba and Moonshot AI have already begun adjusting their commercial terms, testing how much enterprises will pay for frontier-grade models developed in China. DeepSeek's price increases suggest the company believes its technology is now good enough — and its user base large enough — to charge more without losing customers.
Capital for Data Centers and Chips
The unusually fast funding cadence is driven by hardware costs. DeepSeek needs capital to build its own data centers and acquire more chips, the reports noted, a common pressure point as models grow larger and training runs grow more expensive. The $8 billion target, if reached, would give the startup one of the largest private war chests in the Chinese AI sector.
Discussions are still ongoing and the details could change, Bloomberg cautioned. DeepSeek did not immediately respond to requests for comment from PYMNTS and other outlets. But the direction is clear: the lab that once captivated the industry with a low-cost breakthrough is now betting big — and asking investors to bet alongside it.
What It Means for the AI Funding Boom
DeepSeek's resumed round lands amid a record stretch for AI fundraising. Two-thirds of all venture capital now flows to AI startups, with OpenAI and Anthropic absorbing the lion's share. Chinese labs have scrambled to keep pace, and DeepSeek's near-$74 billion valuation would place it among the most richly valued private AI companies in the world.
For investors, the question is whether DeepSeek's revenue growth can justify that price. For rivals, the message is that the price war is cooling. And for the broader market, the funding rush signals confidence that the build-out of AI infrastructure is still in its early innings — even as the bills climb into the tens of billions.
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