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DeepSeek完成首次外部融资 估值达500亿美元

亿邦AI 2026-06-18 10:15
亿邦AI 2026/06/18 10:15

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本文核心是中国AI初创企业DeepSeek完成首次外部融资的相关关键信息,整理核心干货如下:

1.融资核心信息:2026年6月完成融资,规模超500亿元人民币,投后估值突破500亿美元,远高于此前市场预期的100亿美元估值。本次融资结构特殊,多数投资者资金进入创始人控制的合伙企业,无投票权还有5年锁定期,仅国资背景AI投资基金直接投资保留投票权。创始人梁文锋出资约200亿元,腾讯、宁德时代是最大外部投资方。

2.企业发展核心信息:DeepSeek2025年初凭借两款模型获得全球关注,2026年推出基于华为芯片的V4模型,是目前全球规模最大的开源权重模型,坚持优先做基础AI和通用AI研发,推进开源,不追求短期利润。产品定价优势明显,V4 Pro永久75折,输入输出成本远低于OpenAI同类产品。

对于布局AI应用、寻找产业机会的品牌商来说,本文透露出不少AI产业的关键参考信息,干货整理如下:

1.产业发展方向:头部国产AI初创明确将基础AI研究、通用人工智能开发作为核心方向,坚持长期推进开源模型研发,不追求短期利润,说明开源AI是未来AI产业的核心趋势之一,品牌商可以对接开源AI降低自身智能化转型的技术成本。

2.产品选型参考:DeepSeek推出的V4 Pro模型永久设置75折折扣,输入成本仅为OpenAI GPT-5.5的十一分之一,输出成本仅为三十五分之一,国产开源模型的价格优势十分明显,品牌商引入AI工具时可优先选择高性价比的国产方案。

3.资本与合作参考:当前AI领域资本投入力度极大,国产AI企业估值增长速度远超预期,品牌商可提前布局与国产头部AI企业的相关合作,抓住AI赋能的产业红利。

对于想要借助AI赋能业务的卖家来说,本次DeepSeek融资事件透露出不少行业机会和参考信息,干货整理如下:

1.成本优化机会:国产开源大模型已经发展成熟,DeepSeek推出的大模型成本远低于海外头部产品,还推出了V4 Pro永久75折的政策,卖家可以接入这类高性价比的国产AI工具,降低客服、商品内容创作、运营推广等环节的成本,提升利润空间。

2.赛道机会判断:AI领域当前资本投入力度极大,DeepSeek成立仅一年多就做到500亿美元的估值,增长速度远超市场预期,说明AI赋能是当前极具增长潜力的赛道,卖家可以抓住AI赋能的红利升级自身业务,打造竞争优势。

3.方向参考:DeepSeek创始人明确坚持长期投入开源通用AI研发,不追求短期利润,说明AI赋能是长期产业趋势,方向稳定,卖家可以放心布局相关应用,不用担忧短期方向变动的风险。

对于推进数字化转型、寻找新商业机会的工厂来说,本文透露出不少启示和机会,干货整理如下:

1.数字化转型启示:国产开源大模型已经发展成熟,成本远低于海外头部大模型产品,工厂推进智能化、数字化转型的时候,可以选择高性价比的国产开源大模型,大幅降低转型过程中的技术投入成本,加快转型落地速度。

2.商业合作机会:当前国产AI产业处于高速发展阶段,DeepSeek已经推出基于华为芯片的大模型产品,对上游硬件制造、芯片配套生产都有持续的需求,有相关产能和技术能力的工厂,可以对接国产AI企业的需求,寻求新的业务增长点。

3.转型方向启示:DeepSeek坚持长期投入基础AI研发,不追求短期利润,说明AI智能化是长期的产业变革方向,工厂推进数字化转型不要执着于短期见效,要着眼长期布局,落地符合自身需求的智能化改造。

对于AI相关行业服务商来说,本文透露出不少行业发展趋势和机会,干货整理如下:

1.行业发展趋势:当前资本对国产开源通用AI的认可度极高,头部初创企业单次融资规模超500亿元,估值短时间内大幅增长,说明开源AI是未来AI服务行业的核心发展方向,市场需求旺盛,发展空间大。

2.客户核心痛点:目前大量企业引入AI工具的核心痛点是成本过高,海外头部大模型的使用成本居高不下,而国产开源大模型可以把输入成本降到原来的十一分之一,输出成本降到三十五分之一,刚好解决了客户的核心降本需求。

3.自身发展机会:服务商可以抓住国产AI替代的风口,对接DeepSeek这类头部国产开源大模型,基于开源模型开发适配不同行业的落地方案,满足不同领域企业对低成本AI工具的需求,打造自身的差异化竞争优势。

对于AI相关平台商来说,本文透露出不少运营、招商、风险规避的参考信息,干货整理如下:

1.AI企业的核心需求:AI科技企业非常看重企业控制权的稳定,本次DeepSeek融资设计了特殊的交易结构,多数投资者不获得投票权,还设置了5年锁定期,仅国资背景投资机构例外,平台商服务AI企业的时候,需要匹配这种需求,设计尊重创始人控制权的服务方案。

2.招商布局方向:国产深耕开源路线的AI企业当前处于高速增长阶段,资本认可度高,发展速度快,是非常优质的招商目标,平台商可以将这类坚持基础研发的国产AI企业作为重点招商对象,优化平台的服务生态。

3.风险规避参考:当前国产AI替代的趋势明显,主打低成本的国产开源模型比海外高价模型竞争力更强,平台商可以侧重引入国产高性价比AI模型,优化平台产品结构,规避过度依赖海外模型带来的政策、成本风险。

对于AI产业研究者来说,本次DeepSeek融资事件反映了不少产业新动向,干货整理如下:

1.产业发展新动向:中国AI初创企业成长速度远超预期,成立不到两年就完成超500亿元融资,投后估值突破500亿美元,远高于初期市场预期,说明全球资本对中国AI企业的认可度大幅提升,国产AI已经在全球市场具备极强的竞争力。

2.资本运作新模式:本次融资探索出了适合基础AI研发的特殊资本运作模式,多数投资者无投票权加5年锁定期,仅国资背景机构保留投票权,创始人出资占比极高,保证了创始人对企业的控制权,能够支撑企业长期投入不追求短期利润的基础研发,是一种值得研究的新商业模式。

3.全球竞争新格局:国产开源大模型已经做到全球最大规模,使用成本远低于海外头部OpenAI的产品,打破了海外企业对大模型的高价垄断,全球AI产业的竞争格局已经出现新的变化,国产开源力量成为不可忽视的一级。

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Quick Summary

This article covers key details of the first external financing round completed by Chinese AI startup DeepSeek, with core takeaways as follows:

1. Core financing details: The round was closed in June 2026, raising over 50 billion yuan, pushing the post-money valuation above $50 billion—far exceeding the market's earlier expectation of $10 billion. The financing has an unusual structure: most investors' capital flows into a partnership controlled by the founder, carries no voting rights and comes with a 5-year lock-up. Only the state-backed AI investment fund holds voting rights for its direct investment. Founder Liang Wenfeng contributed around 20 billion yuan, with Tencent and CATL as the largest external investors.

2. Core business updates: DeepSeek gained global attention with two models in early 2025, and launched its Huawei chip-based V4 model in 2026. Currently the world's largest open-weight AI model, V4 aligns with DeepSeek's strategy of prioritizing foundational and general AI research, advancing open-source development, and forgoing near-term profits. The company also has strong pricing power: its V4 Pro model is permanently priced at a 25% discount, with input and output costs far lower than OpenAI's comparable offerings.

For brands exploring AI applications and industry opportunities, this article offers key actionable insights into China's AI sector, summarized below:

1. Industry direction: Leading domestic AI startups have clearly centered their strategy on foundational and general AI research, sustained long-term open-source model development, and a rejection of short-term profit chasing. This confirms that open-source AI is one of the core trends reshaping the AI industry. Brands can leverage open-source AI to cut technology costs for their own intelligent transformation.

2. Product selection guidance: DeepSeek's permanent 25% discount on V4 Pro brings input costs to just 1/11 of OpenAI's GPT-5.5, and output costs to 1/35. Domestic open-source models offer clear pricing advantages, so brands should prioritize high-performance, low-cost domestic solutions when adopting AI tools.

3. Capital and cooperation takeaways: The AI sector is currently seeing enormous capital inflows, and the valuation growth of Chinese AI startups has far outpaced expectations. Brands can proactively build partnerships with leading domestic AI players to capture the industrial dividend from AI赋能.

For sellers looking to power their business with AI, DeepSeek's financing round reveals key industry opportunities and insights, summarized below:

1. Cost optimization opportunities: Domestic open-source large models have reached full maturity. DeepSeek's models cost far less than leading overseas offerings, and the company offers a permanent 25% discount on V4 Pro. Sellers can integrate these cost-effective domestic AI tools to cut costs for customer service, product content creation, operation and marketing, and expand profit margins.

2. Sector opportunity outlook: The AI sector is currently attracting massive capital investment. DeepSeek reached a $50 billion valuation just a little over a year after its founding, with growth far exceeding market expectations. This confirms that AI赋能 is a high-growth sector, and sellers can capture the AI dividend to upgrade their business and build competitive advantages.

3. Strategic direction: DeepSeek's founder has committed to long-term investment in open-source general AI and rejected short-term profit goals, confirming that AI赋能 is a stable, long-term industrial trend. Sellers can safely invest in relevant AI applications without worrying about near-term strategic shifts.

For factories pursuing digital transformation and new business opportunities, this article offers key insights and opportunities, summarized below:

1. Digital transformation takeaways: Domestic open-source large models are now fully mature and cost far less than leading overseas offerings. Factories can select cost-effective domestic open-source models for their intelligent and digital transformation to drastically cut technology investment costs and speed up implementation.

2. Business partnership opportunities: China's domestic AI industry is currently in a period of rapid growth. DeepSeek has already launched large model products built on Huawei chips, creating sustained demand for upstream hardware manufacturing and chip supporting production. Factories with relevant production capacity and technical capabilities can connect with domestic AI companies to pursue new growth opportunities.

3. Transformation guidance: DeepSeek's commitment to long-term investment in foundational AI research and rejection of short-term profits confirms that AI-enabled intelligence is a long-term industrial transformation direction. Factories should not focus solely on near-term returns when pursuing digital transformation, but instead make long-term布局 and implement intelligent upgrades tailored to their own needs.

For AI industry service providers, this article reveals key industry trends and opportunities, summarized below:

1. Industry development trend: Capital has extremely high confidence in domestic open-source general AI. A leading startup raised over 50 billion yuan in a single financing round, with its valuation surging in a short period of time. This confirms that open-source AI is the core growth direction for the AI service industry, with strong market demand and large room for growth.

2. Core customer pain points: The biggest barrier for enterprises adopting AI tools is high cost: leading overseas large models have persistently high usage costs, while domestic open-source models can cut input costs to 1/11 and output costs to 1/35 of overseas levels, directly addressing enterprises' core demand for cost reduction.

3. Growth opportunities: Service providers can capitalize on the trend of domestic AI substitution, partner with leading domestic open-source model developers like DeepSeek, build industry-specific implementation solutions based on open-source models to meet the demand for low-cost AI tools across sectors, and build their own differentiated competitive advantages.

For AI-related platform operators, this article offers key insights for operations, recruitment and risk mitigation, summarized below:

1. Core demands of AI companies: AI technology firms place high priority on stable founder control. DeepSeek designed an unusual transaction structure for this financing: most investors receive no voting rights, and the investment has a 5-year lock-up, with only state-backed investment firms exempted. When serving AI companies, platforms should design service frameworks that respect founder control to align with this demand.

2. Investment recruitment direction: Domestic AI companies focused on open-source development are currently growing rapidly, enjoy strong capital confidence, and are high-quality recruitment targets. Platforms can prioritize these domestic AI companies committed to foundational research as key recruitment targets to optimize their platform service ecosystem.

3. Risk mitigation guidance: The trend of domestic AI substitution is already clear: low-cost domestic open-source models have stronger competitiveness than high-priced overseas models. Platforms can prioritize introducing high-cost-performance domestic AI models to optimize their product structure and mitigate policy and cost risks from over-reliance on overseas models.

For AI industry researchers, DeepSeek's financing round reflects new key industry dynamics, summarized below:

1. New industry growth trends: Chinese AI startups are growing far faster than expected: this startup raised more than 50 billion yuan less than two years after founding, reaching a post-money valuation of over $50 billion, far exceeding early market expectations. This shows that global recognition of Chinese AI firms has increased significantly, and domestic Chinese AI already has strong competitiveness in the global market.

2. A new capital operation model: This financing pioneered a special capital structure suited for foundational AI research: most investors receive no voting rights and agree to a 5-year lock-up, only state-backed institutions retain voting rights, and the founder holds an extremely large stake. This structure guarantees founder control, enabling long-term investment in foundational research that prioritizes long-term goals over near-term profits, making it a new business model worthy of in-depth study.

3. A new global competitive landscape: Domestic open-source large models have become the world's largest in scale, with usage costs far lower than leading offerings from OpenAI, breaking the high-price monopoly held by overseas firms. The competitive landscape of the global AI industry has already shifted, and China's open-source AI force has become an unignorable player.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

2026年6月,中国AI初创企业DeepSeek完成成立以来首次外部融资,融资规模超500亿元人民币,约合74亿美元,投后估值突破500亿美元。今年4月,市场流传的融资预期为至少3亿美元,对应估值100亿美元。

本次融资采用特殊交易结构。多数投资者资金需注入由公司CEO梁文锋管理的有限合伙企业,而非直接注入DeepSeek主体,投资者无投票权,同时面临5年锁定期。唯一例外是国内国资背景AI投资基金,该机构直接投资且保留投票权。创始人梁文锋本人出资约200亿元,腾讯、动力电池企业宁德时代为最大外部投资方。融资前梁文锋已向投资者明确,优先开展基础AI研究及通用人工智能开发,不追求短期利润,将持续推进开源模型研发。

DeepSeek于2025年初凭借V3、R1模型获得全球关注,2026年4月推出基于华为芯片运行的V4模型,为目前全球规模最大的开源权重模型。公司已将V4 Pro的75%折扣设为永久政策,该模型输入成本约为OpenAI GPT-5.5的十一分之一,输出成本约为后者的三十五分之一。

当前OpenAI与Anthropic估值均接近万亿美元水平,DeepSeek估值相对偏低。

文章来源:亿邦动力

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