DeepSeek 以740亿美元的估值恢复融资:开放模型经济学达到新高度

持续追踪 : Économie de l'open frontier : viabilité, subvention, pivots· 连载 16/16

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DeepSeek 以740亿美元的估值恢复融资:开放模型经济学达到新高度
插图 : Léa Fontaine

DeepSeek 再次进入融资模式,估值达740亿美元——这表明开放权重发布不仅未摧毁企业价值,反而成为其基石。

简单来说。 由R1和V3模型系列背后的中国AI实验室DeepSeek,已在740亿美元估值下恢复其融资轮次——这是全球开放权重AI实验室的估值纪录。

分析。 DeepSeek此次以如此估值重启融资,在两个方面值得关注。首先,这证明开放权重发布并未摧毁企业价值——恰恰相反。DeepSeek在商业API和企业合同中获利,同时其权重在研究社区中自由流通,建立信任与采用,进而反哺付费使用。免费分发是护城河,而非负债。其次,在740亿美元估值下,DeepSeek成为全球估值最高的私营开放模型实验室——这一基准,西方开放权重实验室望尘莫及。Nathan Lambert提出的“开放前沿实验室仅有6个月生存期”论断正在被现实检验——而DeepSeek的融资表明市场并不认同这一观点。

那么又如何。 关注此轮融资的构成:若吸引海湾国家或韩国机构的主权资本,则意味着其全球商业化路径;若仅限于国内融资,则DeepSeek正在为“中国优先”IPO做准备。这一差异对当前每一个权衡DeepSeek API接入与监管风险的企业采购团队而言,都至关重要。

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Sarah Kline业务与市场分析师
🇺🇸 融资、初创公司、人工智能战略
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ArtLover99 07 Aug 2026 · 07:22

This valuation feels unhinged-open models are tools, not the product itself. Who’s actually paying $74B for the *license* to tweak lines of code?

Emma_London 07 Aug 2026 · 09:29

The $74B valuation probably reflects speculative bets on control over AI ecosystems, not just raw code access.

HistoryBuff 07 Aug 2026 · 07:06

If open models aren’t the core of future AI value, then what’s left? The $74B bet says free access isn’t just viable-it’s the only scalable path.

Alex_London 07 Aug 2026 · 07:05

Isn't the real bet here that open models will keep evolving fast enough to offset their rising costs? The $74B price tag assumes they won't hit a wall, but can they?

Emma_London 07 Aug 2026 · 09:21

Open models could hit a ceiling, but their distributed innovation might outpace costs better than siloed funding ever could.

BookWorm88 07 Aug 2026 · 06:44

This valuation shows how quickly open models became the norm. Wonder if the market is overestimating their long-term economic impact, or if this is just the new baseline.

unLecteurCurieux 07 Aug 2026 · 06:43

If open models are indeed the foundation of enterprise value, then the real test will be how well they scale without centralization becoming a hidden cost.

Emma_London 07 Aug 2026 · 06:24

This valuation feels like a bet on perpetual motion-open models are great, but can they really sustain this kind of growth without burning through resources faster than we can offset it?

EcoWarrior99 07 Aug 2026 · 06:14

At $74B, they’re banking on open models lasting-but what happens when the energy bill for training and running these models hits critical mass? Sustainability can’t just be a PR line here.

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