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China's Top AI Firms Pursue Dual Listing Pressure

China's Top AI Firms Pursue Dual Listing Pressure
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💰Read original on 钛媒体

💡See how market pressure is shaping the financial future of China's leading AI model developers.

⚡ 30-Second TL;DR

What Changed

Zhipu and MiniMax pursuing dual listings in HK and Mainland

Why It Matters

The financial performance of these firms will set a precedent for the valuation of Chinese AI startups in the global capital market.

What To Do Next

Track the financial disclosures of Zhipu and MiniMax to understand the unit economics of operating large model businesses in China.

Who should care:Founders & Product Leaders

Key Points

  • Zhipu and MiniMax pursuing dual listings in HK and Mainland
  • Market reaction shows skepticism regarding AI company valuations
  • Pressure on large model firms to prove profitability and growth

🧠 Deep Insight

Web-grounded analysis with 28 cited sources.

🔑 Enhanced Key Takeaways

  • MiniMax successfully listed on the Hong Kong Stock Exchange in January 2026, with its shares quadrupling by late May 2026, reaching a market capitalization of HK$264 billion (US$33.7 billion).
  • Zhipu AI also completed its Hong Kong listing on January 8, 2026, becoming the world's first listed large language model company, and its shares have since climbed more than 10 times from its IPO price, implying an $83 billion valuation by June 2026.
  • Both Zhipu and MiniMax are pursuing dual listings on Shanghai's STAR Market to tap into a deeper domestic capital pool and broaden financing avenues, with Zhipu aiming to raise up to 15 billion yuan (approximately $2.2 billion) for AI general-purpose foundation model R&D projects.
  • The dual-listing strategy is driven by the capital-intensive nature of AI development, the need to fund costly model training and global expansion, and a strategic shift to emphasize core technology pricing over hardware speculation in valuations.
  • MiniMax reported a 158.9% year-over-year revenue surge to $79.038 million in 2025, with 73% of its revenue from international markets, but incurred a net loss of approximately US$1.87 billion, reflecting substantial R&D and infrastructure investments. Zhipu AI's revenue reached $168 million in 2024, growing 500% year-on-year, but also reported widened full-year losses of about $683 million in 2025.

🛠️ Technical Deep Dive

  • MiniMax M3: This flagship model features frontier coding capabilities, a 1 million token context window, and native multimodality. It incorporates a novel MiniMax Sparse Attention (MSA) architecture, enabling it to process data five times faster than its predecessor (M2.7) and significantly reduce inference costs. M3 has demonstrated strong performance, reportedly outperforming OpenAI's GPT-5.5 and Google's Gemini 3.1 Pro on the SWE-Bench Pro coding benchmark.
  • MiniMax M2: An earlier Mixture of Experts (MoE) model, M2 has 230 billion total parameters with 10 billion active parameters. It is designed for coding and agentic tasks, offering powerful general intelligence. Its sparse activation design contributes to lower latency, reduced cost, and higher throughput, making it suitable for interactive agents and batched sampling.
  • Zhipu AI's GLM Series: Zhipu AI develops a range of large language and multimodal models, including ChatGLM, GLM-130B, CodeGeeX, CogVLM, and CogView. The company also builds high-precision, billion-scale knowledge graphs and aims for artificial general intelligence (AGI). In 2025, its GLM-5 series was claimed to achieve parity with GPT-5. Zhipu also launched AutoGLM Rumination, a free AI agent reportedly eight times faster than DeepSeek R1, and released GLM-4-Plus in August 2024.

🔮 Future ImplicationsAI analysis grounded in cited sources

Chinese AI firms will continue to pursue dual listings to secure capital for intense R&D and global expansion.
The high capital intensity of AI development and the need to compete globally against well-funded US counterparts necessitate diversified funding sources from both domestic and international markets.
The valuation metrics for AI companies will increasingly shift from traditional financial ratios to 'gross profit per token' and token consumption.
Goldman Sachs' analysis suggests that the ability to generate and monetize tokens will become a key indicator of an AI company's commercial capability and future value, moving beyond conventional financial metrics.
Chinese AI models will intensify global competition through aggressive pricing and open-source strategies.
Chinese firms like DeepSeek have already initiated price wars, and many Chinese models are available via open-source platforms, driving wider adoption, especially in cost-sensitive markets and developing countries.

Timeline

2021-12
MiniMax founded by former SenseTime researchers in Shanghai.
2023
Zhipu AI raised 2.5 billion yuan (approx. $350 million) from major investors including Alibaba Group and Tencent.
2024-03
Alibaba Group led a $600 million financing round for MiniMax, valuing the company at $2.5 billion.
2026-01-08
Zhipu AI listed on the Hong Kong Stock Exchange, becoming the world's first listed large language model company.
2026-01-09
MiniMax listed on the Hong Kong Stock Exchange.
2026-06-01
MiniMax unveiled its latest flagship AI model, M3, and both MiniMax and Zhipu AI announced plans for dual listings on Shanghai's STAR Market.
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Original source: 钛媒体