DeepSeek Valuation Nears $45B as China Big Fund Leads AI Funding Round 2026

DeepSeek Valuation Nears $45B as China Big Fund Leads AI Funding Round 2026

DeepSeek is closing in on a $45 billion valuation as China Big Fund — the National Integrated Circuit Industry Investment Fund — spearheads a landmark funding round, with Tencent and Alibaba in advanced negotiations to invest billions. This surge reflects mounting global confidence in China’s open-source AI infrastructure, even amid U.S. export restrictions and geopolitical tensions. According to The Information, initial talks in mid-April targeted a $20 billion valuation, but recent momentum has pushed estimates beyond $45B — signaling unprecedented institutional backing.

Why China Big Fund Is Betting Big on DeepSeek

China Big Fund views DeepSeek as a strategic pillar in its mission to reduce reliance on foreign AI models and achieve technological sovereignty. The lab’s commitment to releasing powerful large language models under permissive open-source licenses aligns perfectly with national policies encouraging collaborative innovation between academia and industry. Unlike proprietary AI startups, DeepSeek’s transparency fosters trust among researchers and developers worldwide, accelerating adoption and reinforcing its value.

How Tencent and Alibaba Are Competing for DeepSeek’s AI Models

Tencent and Alibaba are locked in competitive talks to secure equity stakes exceeding $1 billion each, according to 36Kr. Alibaba aims to integrate DeepSeek’s LLMs into its cloud platform, e-commerce recommendation engines, and customer service automation. Meanwhile, Tencent seeks to enhance its gaming AI, content generation tools, and social media platforms with DeepSeek’s high-performance, low-cost models. Both see the lab’s architecture as a viable alternative to Meta’s Llama and Mistral, especially under tightening U.S. chip controls.

Why Open-Source Is Fueling DeepSeek’s Valuation Surge

Unlike most AI startups that monetize via APIs or closed models, DeepSeek operates like a research institution — releasing high-quality models like its 70B-parameter LLM under Apache 2.0 licenses. This approach has driven massive global adoption: over 1.2 million downloads on Hugging Face since January 2026, with academic citations rising 300% year-over-year. Seeking Alpha reports that its performance on MMLU and GSM8K benchmarks rivals GPT-4 and Claude 3 — without requiring proprietary training data. This open model has become a magnet for developers, startups, and universities, turning DeepSeek into a de facto standard in Chinese AI.

Global AI Supply Chain Shifts Favor DeepSeek

As U.S. export controls restrict access to advanced GPUs and training infrastructure, global firms are pivoting toward homegrown alternatives. Companies like Nebius, Lambda, and CoreWeave have already turned down Google’s TPU offers, signaling a broader shift toward diversified AI supply chains. DeepSeek’s ability to train efficiently on domestically produced chips — such as Huawei’s Ascend 910B — makes it uniquely positioned to thrive. Analysts at Counterpoint Research estimate that by 2027, over 40% of new LLM deployments in Asia will use open-source Chinese models, with DeepSeek leading the pack.

What’s Next? Regulatory Hurdles and the Path to $45B

While the $45B valuation is widely anticipated, final terms hinge on regulatory approvals from China’s State Administration for Market Regulation and potential restrictions on foreign equity participation. Sources suggest the round could close by late summer 2026, with China Big Fund taking a controlling stake to ensure alignment with national AI strategy. If finalized, this will be the largest private AI financing in Chinese history — surpassing Moonshot AI and Qwen’s prior rounds.

DeepSeek’s rise isn’t just about money — it’s a blueprint for the future of AI: state-backed infrastructure meeting open-source innovation. As the world watches, one question looms: Can China’s public-private AI model outpace U.S. dominance? With $45 billion on the line, the answer may reshape artificial intelligence for a decade.