$0
+$0(0,00%)
Nessun dato
*Data last updated: 2026-05-10 14:43 (UTC+8)
As of 2026-05-10 14:43, 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
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ZhiPu 02513.HK (ZHIPU) FAQ
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ZhiPu 02513.HK (ZHIPU) is currently trading at $0, with a 24h change of 0,00%. The 52-week trading range is $0–$0.
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ZhiPu 02513.HK (ZHIPU) Latest News
2026-04-28 06:00Time Magazine Ranks 10 Most Influential AI Companies; ByteDance, Zhipu, Alibaba Among Top PicksGate News message, April 28 — Time magazine has unveiled its list of the "10 Most Influential AI Companies in 2026," emphasizing comprehensive impact on industry, technology pathways, and society rather than focusing solely on model capabilities.
The selected companies are ByteDance, Amazon, Zhipu, OpenAI, Alphabet, Meta, Anthropic, Alibaba, Mistral, and Hugging Face. Among these, three Chinese companies made the list: ByteDance, Zhipu, and Alibaba.2026-04-28 00:57Zhipu Z.ai Extends GLM Coding Plan Triple Quota Promotion to June 30Gate News message, April 28 — Zhipu Z.ai announced an extension of its GLM Coding Plan triple quota promotion from the original April 30 deadline to June 30, covering both GLM-5.1 and GLM-5-Turbo models.
The promotion is available during Eastern Time 6:00 AM to 2:00 AM the following day. GLM Coding Plan is a subscription service for developers that enables users to invoke GLM models within programming tools including Claude Code, Cursor, and OpenCode.
The triple quota promotion initially launched on March 16 with coverage limited to GLM-5-Turbo, later expanding to include both models following the release of GLM-5.1.2026-04-27 03:11Hong Kong-Listed MiniMax-W Falls Over 14%, Zhipu Drops Over 6% on DeepSeek Model LaunchGate 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 01:31TradFi 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.2026-04-27 00:21DeepSeek Delays V4 Launch to Optimize for Huawei's Ascend ChipsGate News message, April 27 — DeepSeek postponed the release of its V4 model to fine-tune its software stack for Huawei's Ascend chips, reflecting Beijing's broader initiative to develop a domestic AI supply chain as access to advanced foreign semiconductors becomes increasingly constrained.
DeepSeek's V4-Pro model matches performance benchmarks set by OpenAI and Anthropic on major tests, while offering significantly lower API costs at $1.74 per million input tokens compared to Western competitors. The company reported that V4-Pro achieves 27% greater computational efficiency than its V3.2 predecessor, using substantially less computing power in a 1 million-token context. DeepSeek previously demonstrated cost efficiency with its R1 model, which the company said required less than $6 million to develop.
Market reaction reflected the shift toward domestic chip adoption. Shares in Chinese AI companies MiniMax and Zhipu (Knowledge Atlas Technology) each fell approximately 8%, while chipmakers benefited: SMIC, China's largest contract chip manufacturer, rose 9% and Hua Hong Semiconductor climbed 15%.
However, DeepSeek's technical report suggests the company remains partly dependent on Nvidia chips. Chinese semiconductors currently handle model inference, but only portions of V4 training appear adapted for domestic hardware, with the report not clarifying whether Nvidia chips performed the majority of the model's training phase.
