DeepSeek Restarts $8 Billion Round at $74B Valuation After Leaked-Comments Drama

DeepSeek, the Chinese AI startup that rattled global markets in early 2025 with its cost-efficient open-source models, is back at the fundraising table. According to a Bloomberg report published August 6, 2026, the company has resumed its second funding round and is seeking close to $8 billion at a pre-money valuation of approximately 500 billion yuan (~$74 billion). Hong Kong-based Monolith Management — best known as an early backer of Moonshot AI (Kimi) — is reportedly in talks to participate.

The restart comes just under two weeks after DeepSeek dramatically paused the same round on July 25, 2026, when private comments made by founder Liang Wenfeng to investors leaked online and went viral across Chinese social media and Western tech forums alike.

What happened: the leaked transcript

The controversy erupted when a roughly four-hour transcript of Liang’s discussions with prospective investors began circulating online. In those conversations, Liang reportedly discussed DeepSeek’s continued reliance on Nvidia chips and candidly assessed the compute gap between China and the United States — subjects considered politically and commercially sensitive in China’s tightly managed AI ecosystem.

Liang was reportedly frustrated not by the substance of the leak, but by the fact that his private remarks had been broadcast publicly at all. According to Reuters and Fortune, DeepSeek told backers the deal was on hold pending the fallout. For nearly two weeks, one of the most sought-after AI deals in the world sat frozen — a remarkable interruption for a company whose first funding round earlier in 2026 had raised over $7.4 billion at a ~$60 billion valuation.

The resumption signals that DeepSeek and its backers have decided the leak’s impact was manageable. Monolith’s potential involvement is notable: the firm has deep experience navigating China’s competitive AI landscape and could help DeepSeek broaden its investor base beyond its original state-affiliated and venture backers.

The technical tailwind: V4-Flash-0731

The timing of the restart is no coincidence. On July 31, 2026, DeepSeek released V4-Flash-0731, a retrained version of its budget-tier model that immediately made waves in the open-source community.

Artificial Analysis, an independent benchmarking service, scored the model at 50 on its Intelligence Index — a 10-point jump over the original V4-Flash released in April 2026. That score places V4-Flash-0731 among the top three open-weights models on the leaderboard, on par with Google’s Gemini 3.6 Flash and just behind Meta’s Muse Spark 1.1 and Z.ai’s GLM-5.2.

What makes the result striking is the economics. V4-Flash-0731 is a sparse mixture-of-experts (MoE) model with only 13 billion active parameters out of 284 billion total. According to OpenRouter, it is priced at roughly $0.08 per million input tokens — and Quartz reported it costs only about three cents per benchmark test run, making it by far the cheapest of any major model to evaluate.

Perhaps most impressively, the Hugging Face release notes confirm that V4-Flash-0731 outperforms DeepSeek’s own V4-Pro (Preview) — the company’s flagship — across all nine tracked benchmarks, despite activating far fewer parameters. The community on Reddit’s r/LocalLLaMA dubbed it a model that gives you “frontier-level intelligence” without a $50,000 server rack, thanks to its 1-million-token context window and open MIT-license weights.

This technical momentum gave DeepSeek powerful leverage heading back into negotiations. A company that can simultaneously offer a benchmark-topping open model and an extraordinarily cheap inference story is not an easy one for investors to walk away from.

Why $74 billion matters

A ~$74 billion valuation would make DeepSeek one of the most valuable private AI companies on the planet, rivaling or exceeding the valuations of Western peers at similar stages. For context, the Forbes 2026 AI 50 list published in April tracked $305.6 billion in cumulative private AI funding, with OpenAI and Anthropic alone accounting for roughly 80%. DeepSeek’s new raise, if completed, would represent one of the largest single rounds ever recorded for a Chinese AI firm.

The round also underscores a structural shift in how global AI capital is flowing. While U.S. firms continue to dominate headline valuations, Chinese companies like DeepSeek, Z.ai (formerly Zhipu), and Moonshot AI are commanding increasingly large sums — fueled by open-source strategies that win developer mindshare and by domestic policy support, including China’s $8.2 billion National AI Industry Investment Fund launched in January 2025.

The geopolitical backdrop

DeepSeek’s fundraising cannot be separated from the intensifying U.S.–China technology competition. Liang’s leaked comments about Nvidia dependence were sensitive precisely because U.S. export controls have progressively restricted China’s access to the most advanced AI accelerators. DeepSeek has built its reputation partly on achieving frontier-level performance under compute constraints — its original V3 and R1 models famously delivered strong results at a fraction of Western training costs.

The leaked transcript reportedly acknowledged that the compute gap remains real, even as DeepSeek works to close it through algorithmic efficiency and its partnership with domestic chipmakers. Investors apparently concluded that this candor, while embarrassing in the moment, does not undermine the company’s fundamental thesis.

What to watch

Several open questions remain as the round progresses toward an expected signing in late August or September:

1. Final close size and investor roster. Whether Monolith formally commits, and whether other international or Middle Eastern sovereign funds join, will signal how broad DeepSeek’s backing has become.

2. Use of proceeds. DeepSeek is expected to deploy capital toward expanding its compute infrastructure, advancing its V4-Pro flagship toward general availability, and deepening its open-source ecosystem — areas where compute access remains the binding constraint.

3. Regulatory reaction. Chinese authorities have generally encouraged domestic AI champions, but the virality of Liang’s comments about compute dependence could attract scrutiny. How regulators respond to the restart will be telling.

4. Competitive dynamics. With Z.ai’s GLM-5.2 scoring 51 on the same Artificial Analysis index and Meta’s Muse Spark 1.1 also in the top tier, the open-weights race is tighter than ever. DeepSeek’s cost advantage is its sharpest differentiator.

Bottom line

DeepSeek’s decision to restart its $8 billion round — after a very public stumble — is a vote of confidence from both the company and its prospective backers. The intervening weeks delivered a benchmark-topping model that reminds the world why DeepSeek commands attention in the first place: an ability to punch far above its compute weight class. Whether the round closes at the reported terms will be one of the most closely watched AI financing stories of the quarter.

What is clear is that the era of open-source AI as a mere sideshow to proprietary frontier models is over. DeepSeek, with its combination of technical credibility and now enormous capital ambition, is determined to be at the center of it.