钛媒体:引领未来商业与生活新知 06月23日 14:51
MiniMax and Moonshot Intensify AI Race as IPO Pressure Mounts for China's "Six Tigers of Large Models"
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中国大模型领域的竞争进入白热化阶段,MiniMax和Moonshot AI等新兴公司正与DeepSeek展开激烈角逐。这些公司纷纷推出新模型和产品,反映出“六大模型”之间的竞争日益激烈,它们都在寻求上市以应对资金压力和来自巨头的竞争。MiniMax发布了五款新产品,包括旗舰推理模型MiniMax-M1,而Moonshot AI推出了Kimi-Dev-72B,一款在SWE-bench Verified基准测试中击败DeepSeek的开源代码模型。尽管创新不断,但这些公司仍面临资金短缺、人才流失和商业化道路不确定等挑战。

🚀 **激烈竞争格局:** 中国大模型市场竞争激烈,MiniMax、Moonshot AI等公司正与DeepSeek展开竞争,都试图在市场中占据一席之地。

💡 **技术创新与产品发布:** MiniMax推出了多款新产品,包括M1推理模型;Moonshot AI发布了Kimi-Dev-72B开源代码模型和Kimi-Researcher智能体,展示了技术实力。

💰 **上市与融资压力:** 随着竞争加剧,多家公司计划上市,以应对资金压力。然而,市场规模和商业模式的不确定性给这些公司带来了挑战。

🌍 **国际扩张与市场机遇:** MiniMax正在积极拓展国际市场,其订阅产品在海外获得关注。中国资本市场对科技公司上市持欢迎态度,为行业发展提供了支持。

AsianFin  -- China's fierce battle for large AI model supremacy has entered a new phase as upstarts MiniMax and Moonshot AI go head-to-head with DeepSeek, the new heavyweight in China's open-source AI race.

With both companies launching new models and products in rapid succession, the rivalry reflects intensifying competition among the so-called "Six Tigers of Large Models" — MiniMax, Moonshot, Zhipu AI, Baichuan, 01.AI, and StepStar, all of which are now eyeing public listings amid funding pressures and deep-pocketed rivals.

MiniMax made headlines last week with the release of five new products in five days, including its flagship inference model MiniMax-M1. Priced at just $530,000 for reinforcement learning training, M1 matches DeepSeek in performance and offers the longest context window in the market.

Other rollouts included its video model Hailuo 02, general-purpose MiniMax Agent, Hailuo Video Agent, and the updated MiniMax Audio. Meanwhile, Moonshot AI debuted Kimi-Dev-72B, an open-source code model with 72 billion parameters that beat DeepSeek on the SWE-bench Verified benchmark with a 60.4% accuracy rate. The company also launched its first intelligent agent, Kimi-Researcher, for deep research tasks.

These back-to-back launches mark the first direct technological confrontation between Moonshot CEO Yang Zhilin and MiniMax's Yan Junjie, both targeting DeepSeek's dominance. Analysts see the moves as an attempt by the smaller players to remain visible in an increasingly crowded AI field dominated by ByteDance, Alibaba, and DeepSeek.

MiniMax is reportedly planning an IPO in Hong Kong with a \$3 billion valuation, following in the footsteps of Zhipu AI, which began IPO counseling with CICC in April. According to Alphabet List, five of the Six Tigers are preparing to go public as competition for funding intensifies. However, despite a burst of innovation, the Six Tigers are grappling with capital shortfalls, talent attrition, and uncertain paths to commercialization.

Recent data from IDC projects China's generative AI software market will reach just RMB 4.89 billion by 2028, underlining concerns about monetization and market scale. As large AI models transition from foundational capabilities to inference services, companies are racing to find viable business models amid heavy R\&D costs and limited consumer application uptake.

"Before DeepSeek, people assumed Chinese models lagged the U.S. by years. Now we know the gap is just a few months," said one analyst, referencing remarks by U.S. policy advisor David Sacks. Still, DeepSeek's meteoric rise has shaken investor confidence in its smaller rivals. Several Six Tigers have seen senior executives depart for larger firms in recent months, including Zhipu, MiniMax, and 01.AI.

Zhipu, which saw four executives exit in 2025 alone, is nonetheless pushing ahead with its listing. Its commercial platform has grown ARR over 100% since the start of the year, with API revenue up 30-fold and over 25 million users on its Qingyan assistant.

Moonshot's new agent, Kimi-Researcher, is trained end-to-end using reinforcement learning and achieved top scores in Sequoia China's xBench benchmark. Moonshot says it plans to open-source the pre-trained model and its RL-tuned variant.

MiniMax, meanwhile, is doubling down on international expansion. Its subscription-based products like MiniMax Agent and Hailuo AI are gaining traction overseas, where users are more willing to pay for AI tools.

While MiniMax's video generation model outperforms most competitors, its pricing remains steep at nearly $1,500 per year. Still, its M1 model's performance in benchmarks like TAU-bench, SWE-bench, and MRCR puts it among the world's best, often outperforming even GPT-4o and Claude 3 Opus.

With IPO momentum building, China's capital markets are welcoming tech listings. In H1 2025, the A-share market saw a 14% YoY rise in IPOs and funding. Hong Kong's IPO proceeds surged 673% YoY thanks to several mega deals, with 80 new listings forecast for the year. Deloitte estimates over 170 IPO applications are currently active in the city.

Regulators are also making moves. China's STAR Market is launching a new tech-focused board to attract unprofitable high-growth companies, and a "Tech Fast Track" program is expected to further boost Hong Kong's listing activity.

Despite fierce internal competition and growing headwinds, the Six Tigers are pushing ahead. "If we can't avoid competition, then we have to be the best," said MiniMax's Yan Junjie. "Even with limited resources, we've achieved first-tier global performance. That makes us proud."

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