HomeAlibaba, Tencent Vie for DeepSeek Stake in $20 Billion Valuation Race
Industry sources revealed on April 22nd that both Tencent and Alibaba are looking to join the latest funding round for DeepSeek, a prominent domestic large language model developer. Fueled by this interest from tech giants, DeepSeek's targeted valuation has reportedly jumped from $10 billion just days ago to over $20 billion.
This follows an earlier report on April 18th that DeepSeek was seeking to raise $300 million at a valuation of at least $10 billion. The rapid escalation in its fundraising appeal underscores the market's high premium for top-tier independent AI model companies. On the product front, DeepSeek is anticipated to release its next-generation model, DeepSeek v4, within this month. A core enhancement for this model is the introduction of multimodal processing capabilities, designed to significantly broaden its potential for real-world industry applications.
In parallel, Tencent's in-house model, Hunyuan, has also achieved notable progress. The company is expected to officially launch Hunyuan 3.0 this week. Reports indicate this version is spearheaded by Yao Shunyu, a former core researcher at OpenAI, and may feature a lightweight architecture with roughly 30 billion parameters. The goal is to maintain strong performance while lowering deployment costs and reducing inference latency.
The large model market is currently exhibiting a clear trend of polarization. On one side, leading startups are seeing their valuations skyrocket as capital floods toward elite algorithm teams. On the other side, major tech firms are focusing on achieving an optimal balance of extreme efficiency and compact model size. With DeepSeek adding multimodal features and Hunyuan 3.0 entering the arena as a lightweight contender, the competition among domestic models is evolving. It is no longer just a contest of parameter count but a broader battle encompassing multimodal prowess and the potential for deployment on edge devices. This shift is likely to reshape both the investment landscape and the technical benchmarks within China's AI industry.
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Industry sources revealed on April 22nd that both Tencent and Alibaba are looking to join the latest funding round for DeepSeek, a prominent domestic large language model developer. Fueled by this interest from tech giants, DeepSeek's targeted valuation has reportedly jumped from $10 billion just days ago to over $20 billion.
This follows an earlier report on April 18th that DeepSeek was seeking to raise $300 million at a valuation of at least $10 billion. The rapid escalation in its fundraising appeal underscores the market's high premium for top-tier independent AI model companies. On the product front, DeepSeek is anticipated to release its next-generation model, DeepSeek v4, within this month. A core enhancement for this model is the introduction of multimodal processing capabilities, designed to significantly broaden its potential for real-world industry applications.
In parallel, Tencent's in-house model, Hunyuan, has also achieved notable progress. The company is expected to officially launch Hunyuan 3.0 this week. Reports indicate this version is spearheaded by Yao Shunyu, a former core researcher at OpenAI, and may feature a lightweight architecture with roughly 30 billion parameters. The goal is to maintain strong performance while lowering deployment costs and reducing inference latency.
The large model market is currently exhibiting a clear trend of polarization. On one side, leading startups are seeing their valuations skyrocket as capital floods toward elite algorithm teams. On the other side, major tech firms are focusing on achieving an optimal balance of extreme efficiency and compact model size. With DeepSeek adding multimodal features and Hunyuan 3.0 entering the arena as a lightweight contender, the competition among domestic models is evolving. It is no longer just a contest of parameter count but a broader battle encompassing multimodal prowess and the potential for deployment on edge devices. This shift is likely to reshape both the investment landscape and the technical benchmarks within China's AI industry.
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