Funding MiniMax and Zhipu HK IPO Wave: Chinese AI Model Companies Go Public En Masse
by ChaoBro
#MiniMax
#Zhipu
#IPO
#HK Stock Exchange
#AI
#Funding
Bottom Line First
The HK stock market is experiencing an unprecedented AI IPO wave:
- Zhipu GLM (02513.HK): Surged +690% after listing
- MiniMax (00100.HK): Followed to HK listing
- Manycore (00068.HK): Same trajectory
AI, industrial tech, new capital—the HK IPO market is being rewritten in real time.
Deal Data
| Company | Stock Code | Post-Listing Performance | Core Business |
|---|
| Zhipu GLM | 02513.HK | +690% | Large models (GLM series), AI Agents |
| MiniMax | 00100.HK | Broke below HK$600 post-IPO | Large models, AI voice/video generation |
| Manycore | 00068.HK | Positive | Industrial AI, chip design |
MiniMax Post-Break Analysis
MiniMax’s stock trajectory reflects the market’s recalibration of AI model company valuations:
| Phase | Price Range | Market Sentiment |
|---|
| IPO Price | High pricing | Optimistic, AI concept premium |
| Post-listing | Slight decline | Profit-taking |
| Current | Below HK$600 | Valuation digestion phase, some investors starting to bottom-fish |
Why HK?
Structural Advantages of HK AI IPOs
| Dimension | HK | A-Shares | US Stocks |
|---|
| Listing Threshold | Friendly to unprofitable tech companies | Relatively strict | High but higher compliance costs |
| Investor Structure | International + mainland capital | Mainland capital only | Global capital |
| Valuation Logic | Higher premium for AI concepts | Relatively conservative | Most mature but most demanding |
| Geopolitical Risk | Relatively neutral | Domestic policy impact | US-China friction risk |
HK Is Becoming China AI’s “Nasdaq”
This trend parallels Nasdaq’s role during America’s 1990s internet bubble—providing capital market pricing and liquidity for emerging tech companies.
Investment Logic Breakdown
Why Did Zhipu Rise 690%?
| Factor | Explanation |
|---|
| Scarcity | First pure large-model listing on HK exchange |
| Technical Strength | GLM series consistently leads in Chinese benchmarks |
| Commercialization | Already has enterprise customer revenue, not pure concept |
| Policy Environment | ”AI+” national strategy support |
| Liquidity | Capital flowing back to HK tech sector |
MiniMax Positioning Differences
| Dimension | Zhipu | MiniMax |
|---|
| Technical Route | GLM general-purpose large model | Focus on multimodal (voice/video/text) |
| Founder Background | Tsinghua lineage | Peking University lineage |
| Commercialization | Enterprise services focus | C-end + B-end equally weighted |
| Valuation Reference | Already validated by stock price | Currently in valuation digestion |
Industry Landscape Judgment
Capitalization Path for Chinese Model Companies
Technical Validation → Productization → Commercialization → IPO → Ecosystem Expansion
↑ ↓
└────────────── Funding Rounds Support ────────────────────┘
Currently in the productization→commercialization acceleration phase, IPO is the natural result of commercialization.
Next Wave of Potential IPOs
| Company | Status | Expected Direction |
|---|
| DeepSeek | Tencent/Alibaba strategic investment talks | Possible HK or independent listing |
| Moonshot AI (Kimi) | Secured Binance/YZi Labs investment | Possible HK |
| StepFun | Blocked from Meta acquisition | Possible HK or A-share |
Action Recommendations
For Investors
- Zhipu’s 690% gain means “scarcity premium” is fully priced in—chasing carries high risk
- MiniMax breaking below HK$600 may offer better risk-reward, but wait for valuation digestion to complete
- Watch pricing of subsequent IPOs—if issue prices become more rational, long-term investment value increases
For AI Professionals
- HK listings of AI companies mean the industry is entering the “regular army” phase—talent competition will intensify
- Watch AI revenue ratios and growth rates in listed company earnings reports—this is the best indicator of industry health
For Entrepreneurs
- Successful IPOs of Zhipu and MiniMax provide path references for subsequent AI companies
- HK’s acceptance of unprofitable tech companies is rising, but clear commercialization progress is still required