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ZHIPU

ZhiPu 02513.HK Price

ZHIPU
$0
+$0(%0,00)
No data

*Data last updated: 2026-04-27 23:02 (UTC+8)

As of 2026-04-27 23:02, ZhiPu 02513.HK (ZHIPU) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of %0,00. Today, the stock price fluctuated between $0 and $0. The current price is %0,00 above the day's low and %0,00 below the day's high, with a trading volume of --. Over the past 52 weeks, ZHIPU has traded between $0 to $0, and the current price is %0,00 away from the 52-week high.

ZHIPU Key Stats

P/E Ratio0,00
Dividend Yield (TTM)%0,00
Shares Outstanding0,00

Learn More about ZhiPu 02513.HK (ZHIPU)

Gate Learn Articles

Initial Listing: Gate Futures to Launch Stocks with 6 USDT-M Perpetual Contracts, Including TENCENT and XIAOMI

Gate's Futures Stocks will officially launch live trading of TENCENT (TENCENT 00700.HK), MEITUAN (MEITUAN 03690.HK), XIAOMI (XIAOMI 01810.HK), KUAISHOU (KUAISHOU 01024.HK), XUNCE (XUNCE 03317.HK) and ZHIPU (ZhiPu 02513.HK) perpetual contract (USDT-M) at 06:00 (UTC) on April 13, 2026, supporting long and short positions with leverage from 1x to 20x. Leverage can be selected at the time of order placement.

2026-04-13

2026: The AI sector has entered a new phase—how can entrepreneurs adjust their strategies to optimize their algorithms?

This article starts by examining Meta and Manus, along with the public listings of Zhipu and MiniMax, to break down the criteria for AI products transitioning from interesting demos to meaningful deployment—shifting from specialized applications to general-purpose platforms.

2026-01-14

The Gate contract stock section will launch the first trading of 6 perpetual contracts including TENCENT (Tencent Holdings 0700.HK) and MEITUAN (Meituan 03690.HK)

It is reported that Gate's traditional asset category layout is comprehensive, covering the widest range on the entire network.

2026-04-13

Blogs

How to Trade Zhihu Stock on Gate TradFi? April Market Snapshot for ZHIPU

The market continues to validate the logic of simultaneous growth in both token supply and price, making it the core narrative supporting Zhipus stock price.

2026-04-22

The Rise of Chinese AI Unicorns and a Battle with OpenAI

Geopolitical Tension May Inhibit the Growth of the AI China Sector

2024-05-15

ZhiPu 02513.HK (ZHIPU) FAQ

What's the stock price of ZhiPu 02513.HK (ZHIPU) today?

x
ZhiPu 02513.HK (ZHIPU) is currently trading at $0, with a 24h change of %0,00. The 52-week trading range is $0–$0.

What are the 52-week high and low prices for ZhiPu 02513.HK (ZHIPU)?

x

What is the price-to-earnings (P/E) ratio of ZhiPu 02513.HK (ZHIPU)? What does it indicate?

x

What is the market cap of ZhiPu 02513.HK (ZHIPU)?

x

What is the most recent quarterly earnings per share (EPS) for ZhiPu 02513.HK (ZHIPU)?

x

Should you buy or sell ZhiPu 02513.HK (ZHIPU) now?

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What factors can affect the stock price of ZhiPu 02513.HK (ZHIPU)?

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How to buy ZhiPu 02513.HK (ZHIPU) stock?

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Risk Warning

The stock market involves a high level of risk and price volatility. The value of your investment may increase or decrease, and you may not recover the full amount invested. Past performance is not a reliable indicator of future results. Before making any investment decisions, you should carefully assess your investment experience, financial situation, investment objectives, and risk tolerance, and conduct your own research. Where appropriate, consult an independent financial adviser.

Disclaimer

The content on this page is provided for informational purposes only and does not constitute investment advice, financial advice, or trading recommendations. Gate shall not be held liable for any loss or damage resulting from such financial decisions. Further, take note that Gate may not be able to provide full service in certain markets and jurisdictions, including but not limited to the United States of America, Canada, Iran, and Cuba. For more information on Restricted Locations, please refer to the User Agreement.

ZhiPu 02513.HK (ZHIPU) Latest News

2026-04-27 03:11

Hong Kong-Listed MiniMax-W Falls Over 14%, Zhipu Drops Over 6% on DeepSeek Model Launch

Gate News message, April 27 — Hong Kong-listed MiniMax-W fell over 14% intraday, while Zhipu dropped over 6% during the same session. The decline followed DeepSeek's release of a new model on Friday and its announcement of limited-time promotional offers on Saturday.

2026-04-27 01:31

TradFi Fall Alert: ZHIPU (ZhiPu 02513.HK) Falls Over 4%

Gate News: According to the latest Gate TradFi data, ZHIPU (ZhiPu 02513.HK) has dropped by 4% in a short period. Current volatility is significantly higher than recent averages, indicating increased market activity.

2026-04-24 05:00

TradFi Fall Alert: ZHIPU (ZhiPu 02513.HK) Falls Over 8%

Gate News: According to the latest Gate TradFi data, ZHIPU (ZhiPu 02513.HK) has dropped by 8% in a short period. Current volatility is significantly higher than recent averages, indicating increased market activity.

2026-04-24 03:54

TradFi Fall Alert: ZHIPU (ZhiPu 02513.HK) Falls Over 6%

Gate News: According to the latest Gate TradFi data, ZHIPU (ZhiPu 02513.HK) has dropped by 6% in a short period. Current volatility is significantly higher than recent averages, indicating increased market activity.

2026-04-23 02:02

Zhipu Stock Hits Record High, Up Over 5% at Market Open with 800% Gains Since IPO

Gate News message, April 23 — Zhipu (02513.HK) surged over 5% at market open, reaching a new all-time high. The stock has gained nearly 800% since its listing.

Hot Posts About ZhiPu 02513.HK (ZHIPU)

BasementAlchemist

BasementAlchemist

11 hours ago
I noticed something truly interesting in recent weeks. As you follow the development of the artificial intelligence industry, you realize that the real war has never been just about chips, but about something much deeper. Eight years ago, America imposed a simple ban on ZTE. No American components, no software, no technologies. The company nearly collapsed within weeks. But this time, the story is completely different. The real squeeze wasn’t on the hardware, but on CUDA. This platform from NVIDIA controls everything in the AI world. Every algorithm, every model, almost every global developer is connected to it. Building an alternative system means rewriting decades of accumulated expertise. Who bears this cost? But Chinese companies chose a different path. Instead of direct confrontation, they went for algorithmic infiltration. DeepSeek V3 is a clear example. A model with 671 billion parameters, but only activates 37 billion during operation. The cost? Just $5.576 million. Compare that to $78 million for GPT-4. The difference is enormous. The result directly reflected in prices. DeepSeek’s API is 25 to 75 times cheaper than Claude. This price gap changed everything. By February 2026, the use of Chinese models on OpenRouter increased by 127% in just three weeks. But reducing operational costs doesn’t solve training problems. Here, local chips entered the scene. Loongson and Taichu Yuanqi cards began handling real training tasks. In January 2026, Zhipu AI trained a full image generation model solely on local Chinese chips. This is a qualitative shift from inference to training. Huawei Ascend now attracts millions of developers. A complete software environment is being built before our eyes. Major companies are doubling their imports of local computing servers this year. But there’s one factor many are still ignoring: industrial electricity. Here lies the real advantage. The United States faces a severe electricity crisis. Data centers now consume 4% of total American electricity, expected to double by 2030. States like Virginia and Georgia have suspended approvals for new data centers. Wholesale electricity costs in those areas have risen 267% in five years. China’s situation is completely opposite. It produces 2.5 times more electricity annually than the US. Only 15% of local consumption is used domestically, compared to 36% in America. This leaves a huge amount of industrial energy available for computing. Industrial electricity prices in western China are about $0.03 per kilowatt-hour, a quarter or a fifth of US prices. The difference in industrial electricity means a huge economic advantage. When building massive computing centers, fixed costs dominate. China has a structural edge here. What’s coming out of China now isn’t products or factories, but tokens themselves. Tiny data units processed by AI models. Produced in local computing factories, then transmitted via submarine cables to the world. DeepSeek now serves 30.7% of China’s local market, but also 13.6% of India, 6.9% of Indonesia, and 4.3% of the United States. 58% of new AI startups incorporate it into their tech stack. In sanctioned countries, market share ranges between 40% and 60%. This reminds me of another war for industrial independence. In 1986, Japan signed a semiconductor agreement with America. Japan controlled 51% of the global market at that time. But after the agreement, the US exerted comprehensive pressure, supporting Samsung and SK Hynix in Korea. Japan’s share of DRAM collapsed from 80% to 10%. By 2017, only 7% of the IC market remained. The difference is that Japan was content to be the best producer within a divided global system, without building an independent ecosystem. When the wave receded, nothing was left. This time, China is taking a different route. From algorithmic improvements, to the leap in local chips from inference to training, to 4 million developers in the Ascend system, and finally, to tokens spreading globally. Every step builds an independent industrial system. On February 27, 2026, three Chinese chip companies announced their results on the same day. Kimo’s revenue surged 453% and achieved its first annual profit. Moi Tun grew 243% but lost a billion. Moxi grew 121% but lost 800 million. Half fire, half water. The flame is market appetite for alternatives. The 95% gap left by NVIDIA is gradually being filled. Regardless of current performance, the market needs an alternative option. A rare structural opportunity driven by geopolitical tensions. Marine energy is the cost of building the ecosystem. Every real money loss in the effort to build an alternative to CUDA. R&D investments, software support, engineers dispatched to solve translation issues one after another. These losses aren’t mismanagement, but a war tax for building true independence. The war has changed its form. Eight years ago, our question was: should we stay? Today, it’s: how much are we willing to pay to stay? The same cost is progress.
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MetaNomad

MetaNomad

11 hours ago
I have noticed something important lately worth discussing. Eight years ago, the heart of a major Chinese telecom company stopped due to a single American ban. But what is happening now is completely different. Instead of surrendering, Chinese companies have chosen a harder and more creative path. The truth that many have overlooked is that the core problem is not the chips themselves, but NVIDIA’s CUDA development platform. This platform accounts for about 90% of the global AI development market. Millions of developers have learned on it, and millions of applications are built on it. The more developers there are, the more tools and libraries are available, and as the environment thrives, it attracts even more developers. It’s a closed loop that’s very hard to break out of. But in 2024-2025, a radical shift occurred. Chinese companies began focusing on improving algorithms rather than directly fighting the ban. Hybrid expert models became the new trend. DeepSeek is a clear example: 671 billion parameters, but only 37 billion are used during operation. Training costs just $5.6 million compared to $78 million for GPT-4. The price difference caused their model to spread rapidly. By February 2026, the use of Chinese models on the world’s largest aggregation platform increased by 127% in just three weeks. A year ago, their share was less than 2%, now it’s approaching 60%. This is no coincidence. Emerging markets in India, Indonesia, and Brazil have started heavily relying on these models. As for chips, the story is even more exciting. Local chips like Loongson and Taichu Yuanqi have begun training large-scale models. In January 2026, Zhipu AI launched the first fully Chinese-trained image model. This is a qualitative shift from inference capability to training capability. The most important point here relates to energy. China produces 10.4 trillion kWh annually compared to 4.2 trillion in the US. Industrial electricity in China is 4-5 times cheaper than in America. While the US faces a real electricity crisis, China has enormous production capacity that can be directed toward computing. What is coming out of China now is not products or factories, but tokens themselves. The units of information processed by AI models have become a new digital commodity. They are produced in computing factories and then transmitted over the internet worldwide. Data on DeepSeek user distribution tell the story: China 30.7%, India 13.6%, Indonesia 6.9%, America only 4.3%. 26,000 global companies have accounts. In China, they captured 89% of the market. This is very similar to the war on industrial independence that happened with Japan 40 years ago. Japan was at the top in 1988 with 51% of the semiconductor market, but accepted being a better producer in a system dominated by others. When circumstances changed, it collapsed. The difference this time is that China is building a truly independent ecosystem. From algorithm improvements, to local chip leaps, to 4 million developers in the Ascend environment, and finally the global spread of tokens. Every step builds real independence. On February 27, 2026, three Chinese chip companies announced their results on the same day. Revenues soared by huge percentages: (453%, 243%, 121%), but some also incurred massive losses. These losses are not management failures but a tax of war to build an independent ecosystem. Every dollar lost is an investment in R&D and human support. The market needs an alternative to NVIDIA. This is a very rare structural opportunity resulting from geopolitical tensions. The war over computational power has changed its shape. Eight years ago, we asked: Can we survive? Now, the question is: How much do we need to pay to survive? And the answer itself is real progress.
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GasFeeCrier

GasFeeCrier

12 hours ago
Something very important I noticed: the real war on artificial intelligence isn't about the chips themselves, but about something much deeper called CUDA. This system from Nvidia has captured 90% of the global developers, making everyone dependent on their environment. But in recent years, we've seen a radical shift. Chinese companies didn't try direct confrontation; instead, they chose a completely different path: a revolution in algorithms. From late 2024 to 2025, Chinese companies collectively moved toward hybrid expert models — a simple but powerful idea: dividing the large model into smaller experts, activating only what is truly needed. DeepSeek V3 is a clear example: 671 billion parameters but only 37 billion are active at any time. The cost? $5.6 million compared to $78 million for GPT-4. The difference in algorithms directly reflected in the price — 25 to 75 times cheaper than Claude. The result is shocking: in February 2026, the use of Chinese models on OpenRouter increased by 127% in just three weeks, surpassing the United States for the first time. From 2% to 60% in one year. But the real problem was training, not inference. And here came the second solution: local chips. In 2025, China launched a full local production line using Loongson processors and Taichu AI cards. After just a few months, they began training large-scale models on them. In January 2026, Zhipu AI released the first advanced image model trained entirely on Chinese local chips. This is a qualitative shift: from "inference capability" to "training capability." The difference is enormous. Now, while the United States faces a real electricity crisis — data centers consume 4% of electricity, potentially reaching 12% by 2030 — China has a huge energy advantage: it produces 2.5 times what America does, and industrial electricity costs are 4-5 times lower. What comes out of China now isn't products or factories, but tokens — the tiny units processed by AI models. They are produced in Chinese computing factories, then transmitted via cables to the world. DeepSeek is now in 37 languages, 26,000 global companies have accounts, and 58% of new startups have adopted it. In China alone: 89% of the market share. This reminds me of the semiconductor war with Japan forty years ago. But this time, China is building an entirely independent ecosystem — something Japan never did. From optimized algorithms, to local chips, to 4 million developers in the Ascend system, to a global distribution of services. The price is high — local companies are losing billions building this system. But these are not management losses; they are a necessary war tax. The landscape has changed: eight years ago, we asked, "Can we survive?" Today, the question is, "What is the price we need to pay to survive?" The same answer signifies progress.
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