Zhipu AI (Z.ai) logo

Zhipu AI (Z.ai)

PublicHKEX: 2513Founded 2019🇨🇳Beijing, ChinaCEO Zhang Peng

Zhipu AI - branded Z.ai internationally, and renamed Z.AI Co., Ltd. on the Hong Kong exchange in July 2026 - is a Beijing-based frontier AI lab spun out of Tsinghua University's Knowledge Engineering Group in 2019, best known for its open-weight GLM foundation-model family and for becoming the world's first publicly listed LLM company with its January 2026 Hong Kong IPO (HKEX: 2513).

Latest update Oct 1, 2026

01

Overview

Led by CEO Zhang Peng, it ships frontier models on a rapid cadence - the current flagship GLM-5.3 (August 2026) is an extended post-training pass on the same ~743B-parameter mixture-of-experts base as June's GLM-5.2, with full 753B-parameter weights published August 28 under a custom GLM-5.3 License rather than MIT, plus GLM-5.3-Flash (320B total / 18B active, MIT, natively multimodal). Founder Tang Jie named GLM-6.0 as the next-generation Full Self-Training base model on the August 31 H1 earnings call, with no release date. Its API business has scaled fast on coding-tool demand: the August 31 HKEX interim said the MaaS platform had over 7.4 million enterprise and developer users, and SCMP reported the company putting annualized recurring revenue at about $1.6B by end of August 2026. Official H1 2026 revenue was RMB 953.9M, up 399.7% YoY, against a RMB 2.07B net loss. Added to the US Entity List in January 2025, Zhipu leans into a sovereign-AI strategy, selling government-grade LLM infrastructure across Southeast Asia, the Middle East and Africa, and is pushing for domestic-chip compute self-sufficiency after powering up a roughly 1-gigawatt Nvidia-free data center and acquiring chip-utilization software developer XCore Sigma in July 2026. Its stock rose roughly 1,700% after listing before a sharp pullback; it closed September 16 at HK$720 (about $43B) after the September 12-13 announcement of a further ~$5B raise - up to 21.97 million new H shares at HK$714 plus RMB 20.14B of zero-coupon convertibles due September 2027, with about 60% of proceeds earmarked for next-generation models and a fully self-training system. The placing was scheduled to complete September 16, but no HKEX completion filing was public as of September 17. Its Shanghai STAR Market listing has completed regulatory tutoring and won shareholder approval, though no A-share application has been publicly accepted yet.

hkexnews.hkUpdated Sep 17, 2026

02

What's next5

  1. 2026-2027

    Complete the Shanghai STAR Market A-share listing

    Execute the board-approved plan (June 1, 2026) to raise up to RMB 15B (~$2.1B) in an A-share listing, with RMB 12B earmarked for foundation-model R&D, becoming dual-listed under China's H-to-A policy. SCMP reported on September 13, 2026 that regulatory tutoring is complete and shareholders have approved the offering, but no A-share application has been publicly accepted yet - CSRC registration and Shanghai Stock Exchange approval still outstanding as of September 17, 2026.

  2. Ongoing 2026

    Expand sovereign-AI deals internationally

    Grow the government-infrastructure business across Southeast Asia, the Middle East and Africa via the Indonesia and Vietnam innovation centers and Huawei-based private AI offerings, including the International Alliance for Independent Large Model Co-construction Zhipu leads with roughly 10 ASEAN and 10 Belt and Road countries.

  3. Q4 2026

    Close and deploy the September ~$5B raise into compute and GLM-6.0

    Complete the September 12 best-efforts H-share placement (up to 21.965 million shares at HK$714) and the concurrent RMB 20.14B zero-coupon convertibles due September 2027, then convert about 60% of net proceeds into next-generation GLM R&D, a fully self-training system, and compute infrastructure on domestic hardware. The HKEX placing announcement set completion for September 16, 2026 subject to conditions; as of September 17 no completion-of-placing filing had been published, unlike the July 13 completion notice for the earlier $4B placement, so settlement is not confirmed.

  4. Undated

    Ship GLM-6.0, the named Full Self-Training flagship

    Founder Tang Jie named GLM-6.0 on the August 31, 2026 H1 earnings call as the next-generation base model, positioned around Full Self-Training (recursive self-improvement) rather than a simple scale-up. About 60% of the September ~$5B raise is earmarked for that work. No release date, parameter count, architecture, or model card has been published as of September 17, 2026. GLM-5.3 remains the live flagship on Hugging Face (753B total parameters) and z.ai docs.

  5. Undated

    Ship GLM-6.0 Full Self-Training flagship

03

Latest news10

  1. Anthropic says open-weight GLM-5.3 can build end-to-end exploits

    On September 29, 2026 Anthropic published an assessment of Zhipu AI's open-weight GLM-5.3, saying the model built working end-to-end exploits in 50 of 410 ExploitBench attempts, close to Claude Mythos Preview's 56 of 410, and that simple bypasses including weight abliteration raised simulated attack engagement from 0% to as high as 100%. NIST's Center for AI Standards and Innovation had independently called GLM-5.3 the most cyber-capable open-weight model released to date on September 17, while placing it about four months behind the U.S. frontier. Anthropic said safeguarded Claude models blocked the same bypass techniques in its tests; a Z.ai reply was not found in sources opened for this digest.

    www.anthropic.com www.nist.gov + Anthropic

  2. Z.AI announces about $5 billion share and convertible raise

    Z.AI said in a September 13 Hong Kong filing that it signed agreements on September 12 for a best-efforts placing of up to 21.965 million new H shares at HK$714, about 10 percent below the September 11 close of HK$793, plus RMB 20.14 billion of US-dollar-settled zero-coupon convertibles due September 2027 with an initial conversion price of HK$892.50. Combined proceeds are about $5 billion, with roughly 60 percent earmarked for next-generation model R&D and a fully self-training system. Placing completion is expected September 16 subject to conditions; shares tumbled more than 10 percent on September 14 after the second major raise in two months.

    HKEX Reuters CNBC

  3. CISA warns of industrial-scale China AI distillation

    CISA, NSA and the FBI warned on September 8, 2026 that China-based AI companies have run industrial-scale knowledge-distillation campaigns against US frontier models since at least late 2024. The agencies named DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI as extracting billions of tokens across millions of requests from Claude, GPT, Gemini and Grok variants, in violation of US providers' terms of service. They urged US labs to detect anomalous accounts, degrade suspected distillation traffic and share intelligence across providers.

    CISA CISA advisory AA26-251A + DeepSeek+ Moonshot AI

  4. Zhipu AI's H1 revenue jumps 400% but misses estimates

    Zhipu AI (Z.ai) reported first-half 2026 revenue of RMB 953.9 million (about $142 million), up roughly 400% year over year, though the figure came in about 30% below the average analyst estimate as competition in China's AI market weighs on growth. Open-platform and API revenue surged 27-fold to RMB 825.2 million and now makes up 86.5% of the total, while R&D spending rose 33.6% to RMB 2.13 billion as the company keeps investing in its GLM model line.

    Bloomberg Investing.com

  5. Zhipu AI unmasks GLM-5.3-Flash as mystery Ox Alpha model

    Z.ai confirmed on August 26 that the anonymous stealth model 'Ox Alpha,' which had topped OpenRouter and OpenCode usage charts running free since August 20, is GLM-5.3-Flash: a 320-billion-parameter mixture-of-experts model with 18 billion active parameters, a 1,048,576-token context window, and MIT-licensed open weights. The company said it used 100,000 China-made chips to serve all requests to the model, and its Hong Kong-listed shares rose more than 8% on August 27 as GLM-5.3-Flash ranked 10th on the Artificial Analysis Intelligence Index, ahead of DeepSeek's V4 Pro Max.

    Bloomberg wccftech

04

Products3

05

Key metrics

Employees
981 full-time employees

H1 2026 period-end, June 30, 2026; up 11.1% YoY from 883

Est. annual revenue
RMB 953.9M

(~$142M) in H1 2026 (six months ended June 30), up 399.7% year-over-year, against a RMB 2.072B net loss (adjusted net loss RMB 1.964B) - the company spends heavily on R&D (RMB 2.131B in H1) and prices aggressively to win developer share amid China's AI price war. Still the latest official print as of September 17, 2026.

Market Cap

About $43B as of the September 16, 2026 close of HK$720 (Hang Seng listed market cap HK$335.2B on ~466M shares), after a dilution selloff from the September 11 close of HK$793. Shares opened the $5B-raise week lower (CNBC reported a more-than-10% drop on September 14) and closed September 15 at HK$680 before bouncing 5.88% on September 16. Midday September 17 the stock was around HK$762.50 (Hang Seng market cap about HK$355B / $45.5B). Still well below the ~$128-137B peak after GLM-5.2.

H1 2026 Revenue
RMB 953.9M

(~$142M) for the six months ended June 30, 2026, up 399.7% YoY from RMB 190.9M; API/open-platform revenue grew 27x to RMB 825.2M. Gross profit was RMB 251.6M (margin 26.4%). Still the latest official print as of September 17, 2026; no Q3 update has been published.

Annualized Recurring Revenue (ARR)

About $1.6B by end of August 2026 on a monthly-annualized MaaS basis, up from ~$1B in July. SCMP reported this as a company figure alongside the August 31 H1 results (MiniMax's Yan Junjie put that rival at $800M the same week). The HKEX interim itself discloses MaaS users and API mix rather than a USD ARR line.

H1 2026 Net Loss

RMB 2.072B, narrowed 12.1% YoY from RMB 2.358B; adjusted net loss widened 12.1% to RMB 1.964B as R&D spend rose 33.6% to RMB 2.131B. Still the latest official print as of September 17, 2026.

GLM-5.2 / 5.3 Scale

GLM-5.2: ~744B total / 40B active MoE, 1M-token context, MIT. GLM-5.3 (API Aug 14, weights Aug 28): same base, extended post-training only; Hugging Face lists 753B total parameters under a custom GLM-5.3 License (not MIT), with a $10B trailing-revenue MaaS security-review gate. GLM-5.3-Flash (Aug 26): 320B total / 18B active, natively multimodal, MIT.

Users

Over 7.4 million enterprise and developer users on the GLM MaaS platform as of the August 31, 2026 HKEX interim (up 144% from the start of 2026), with paid daily active users up 603%; ~3M free overseas chatbot users after the GLM-4.6 release (10x YoY growth in 2025)

China Market Position

Ranked among China's 'four startup forces' in foundation models alongside DeepSeek, Moonshot AI and MiniMax (distinct from the four Big Tech labs Baidu, Alibaba, ByteDance, Tencent); one industry breakdown puts DeepSeek at roughly 10% of domestic MaaS call volume with Zhipu, Moonshot and MiniMax combined at roughly another 10%, against the four Big Tech labs' 65-70% combined share

Employees

981 full-time employees at period-end June 30, 2026, up 11.1% year-over-year from 883 - per Zhipu's first H1 2026 interim report as a listed company

Market Cap

Hang Seng listed market cap HK$312.5B at the 30 September 2026 close of HK$641 (up 4.31%; day range HK$621.50-656). After the 16 September placing the enlarged count is 487,588,090 shares. About $40B at 7.8 HKD per USD. Still well below the ~$128B peak after GLM-5.2.

06

Operations & revenue

Operating status

Public; $5B raise closed; no reply to Anthropic or NIST CAISI

Public. GLM-5.3 remains the live flagship. The September ~$5B raise completed: 21,965,000 H shares at HK$714 on 16 Sept and RMB 20.14B zero-coupon convertibles on 18 Sept. Hang Seng closed 30 Sept at HK$641, market cap HK$312.5B (about $40B). No Z.ai or Zhipu public reply was found to NIST CAISI's 17 Sept ranking or Anthropic's 29 Sept safeguard-bypass post; z.ai is a JS chatbot shell. GLM-6.0 and the STAR A-share application remain open. Deep-audit gaps: Chinese Weibo/newsroom not opened; careers board not counted.

Revenue streams

  • API platform & GLM Coding Plan

    Per-token access to the GLM family via open.bigmodel.cn (China) and the Z.ai open platform (international), plus subscription coding plans - list price rose to $18/$72/$160 per month (Lite/Pro/Max) by August 2026 as demand outstripped capacity, up from $10/$30/$80 after GLM-4.7, when sales were briefly rationed.

  • Sovereign & enterprise AI deployments

    Government-grade LLM infrastructure - often paired with Huawei hardware - sold to state bodies in Malaysia, Singapore, the UAE, Saudi Arabia and Kenya, with joint innovation centers in Indonesia and Vietnam.

  • Consumer assistant subscriptions

    The Z.ai / ChatGLM assistant across web and mobile, with roughly 3M free overseas users converting into a nascent paid base.

07

Track record

How past announced dates turned out.

2/2announced dates hit on time

  • 2 Hit
  • 0 Slipped
  • 0 Missed
  1. Hit

    Open-source the GLM-5.3 model weights

    Target Late Aug 2026 · Resolved Aug 28, 2026

    Zhipu published the full GLM-5.3 weights (753B total parameters) on Hugging Face on August 28, 2026, right on the promised two-weeks-after-launch schedule and after completing its internal safety review. The weights shipped under a new bespoke 'GLM-5.3 License' rather than GLM-5.2's plain MIT terms - a departure that requires any company with more than $10B in trailing-12-month revenue to pass a Z.ai security review before hosting the model commercially, while individual users and smaller companies see no change. The model's most sensitive cybersecurity-testing functions remain gated behind a separate 'trusted access' program, as originally announced.

  2. Hit

    Ship the next frontier GLM model

    Target H2 2026 · Resolved Aug 14, 2026

    Zhipu shipped GLM-5.3 on August 14, 2026 rather than the rumored GLM-5.5, an extended post-training pass on the same ~743B-parameter GLM-5.2 base rather than a new pretraining run. The company claims a 50% jump in coding capability over GLM-5.2 and the top spot among open-weight models on benchmarks including Terminal-Bench 3.0, with the model also credited with finding 2,436 vulnerabilities across 269 open-source projects during security testing.

08

Timeline21

  1. 2026

    1. Completes ~$5B H-share placing and convertible-bond issue

      An HKEX completion notice dated 18 September 2026 says all placing conditions were met and 21,965,000 new H shares were allotted at HK$714 on 16 September to at least six independent placees (gross about HK$15.683B; net about HK$15.664B). The concurrent RMB 20.14B US-dollar-settled zero-coupon convertibles due 2027 were issued on 18 September (gross about US$3.016B; net about US$3.011B). Settlement had been unconfirmed as of 17 September.

    2. NIST and Anthropic flag GLM-5.3 open-weight cyber capability

      On September 17, 2026 NIST CAISI called Z.ai's GLM-5.3 the most cyber-capable open-weight model released to date, about four months behind the U.S. frontier on its aggregate cyber benchmarks, after an August 14 API launch and August 28 weight release. On September 29 Anthropic reported GLM-5.3 built working end-to-end exploits in 50 of 410 ExploitBench attempts and said simple bypasses, including abliteration, raised simulated attack engagement from 0% to as high as 100%. No Z.ai public reply to the September 29 post was retrieved.

    3. Announces ~$5B H-share placement and convertible-bond issue

      On September 12, 2026 Z.ai signed agreements for a best-efforts placement of up to 21.965 million new H shares at HK$714 (about 9.96% below the September 11 close of HK$793) and a concurrent issue of RMB 20.14 billion (~$3B) of US-dollar-settled zero-coupon convertibles due September 2027, with an initial conversion price of HK$892.50. Combined proceeds are about $5B. About 60% is earmarked for next-generation GLM R&D and a fully self-training system plus compute infrastructure, 15% for expansion, and the rest for capital structure and working capital. The September 11 close implied a market cap of roughly $47B, down from the ~$128B peak after GLM-5.2.

    4. Names GLM-6.0 as next Full Self-Training flagship

      On the August 31, 2026 H1 earnings call - Z.ai's first as a listed company - founder Tang Jie named GLM-6.0 as the next-generation base model and positioned it around Full Self-Training (recursive self-improvement), with the model covering pre-training, mid-training and post-training and judging when to stop or correct itself. No release date, parameter count, or model card was given. Tang also said GLM-5.3-Flash was the first GLM model served entirely on 100,000-class domestic-chip clusters, with per-token inference costs down 80% from the start of 2026.

    5. Named in CISA-NSA-FBI industrial-scale distillation advisory

      On September 8, 2026 CISA, NSA and the FBI warned that China-based AI companies have run industrial-scale knowledge-distillation campaigns against US frontier models since at least late 2024. The agencies named Z.AI, along with DeepSeek, Moonshot AI, Alibaba, MiniMax and StepFun, as extracting billions of tokens across millions of requests from Claude, GPT, Gemini and Grok variants. The advisory said the campaigns violate US providers' terms of service and form the core of China's AI development strategy.

    6. H1 2026 revenue up ~400% but misses analyst estimates

      Zhipu (Z.ai) reported first-half 2026 revenue of RMB 953.9M (~$142M) for the six months ended June 30, up 399.7% year-over-year, but the figure fell about 30% short of the average analyst estimate as competition in China's AI market intensifies. Open-platform and API revenue surged 27-fold to RMB 825.2M (86.5% of total, up from 15.2% a year earlier), enterprise-agent revenue rose 304.4% to RMB 55.6M, R&D spending rose 33.6% to RMB 2.13B, and net loss narrowed 12.1% to RMB 2.07B even as adjusted net loss widened 12.1% to RMB 1.96B.

    7. GLM-5.3 open weights published under a new, non-MIT license

      On August 28, 2026 - roughly two weeks after the August 14 API launch, matching the promised schedule - Zhipu published the full GLM-5.3 weights (753B total parameters) on Hugging Face after completing its internal safety review. Unlike GLM-5.2's plain MIT release, GLM-5.3 ships under a bespoke 'GLM-5.3 License' that requires any company with more than $10B in aggregate revenue over a trailing 12 months to pass a Z.ai security review before hosting the model commercially; individual users and smaller companies see no change. The model's most sensitive cybersecurity-testing functions remain gated behind a separate 'trusted access' program for verified users.

    8. Unmasks stealth 'Ox Alpha' as GLM-5.3-Flash; shares jump 8%

      Zhipu confirmed on August 26, 2026 that its mystery stealth model 'Ox Alpha,' which had topped OpenRouter and OpenCode usage charts, is GLM-5.3-Flash: a 320B-parameter (18B active) natively multimodal mixture-of-experts model with a 1,048,576-token context window, released under an MIT license. The company said it used 100,000 China-made chips to serve all online requests to the model, and its Hong Kong-listed shares rose more than 8% on August 27 on the news; GLM-5.3-Flash ranked 10th on the Artificial Analysis Intelligence Index, ahead of DeepSeek's V4 Pro Max.

09

Funding

$1.2Bdisclosed across 3 rounds with a stated amount

Cumulative disclosed raise · dated rounds

$500M$1B$1.5B2024$1.2B raised
  1. Strategic round

    2023

    RMB 2.5B (~$350M)

    Alibaba, Tencent, Meituan, Ant Group, Xiaomi, HongShan

  2. Growth round

    May 2024

    $400M at ~$3B valuation

    Prosperity7 Ventures (Saudi Aramco VC, lead)

  3. State-backed rounds

    2024–2025

    $412M (Dec 2024) + ~$257M (Mar 2025) + $140M (Jul 2025)

    Beijing Zhongguancun Science City fund, Chengdu, Zhuhai Huafa, Hangzhou City Investment, Shanghai state funds

  4. IPO (HKEX: 2513)

    Jan 2026

    ~$558M at HK$51.8B (~$6.7B) valuation

    Public listing at HK$116.20/share - world's first LLM-company IPO

  5. Follow-on H-share placement

    Jul 2026

    ~$4B at HK$1,588/share

    Institutional placement (proceeds for compute infrastructure and model R&D)

  6. Follow-on H-share placement and convertible bonds

    Sep 2026

    ~$5B combined: up to ~$2B H-share placement (21.965M shares at HK$714) plus RMB 20.14B (~$3B) zero-coupon convertibles due Sep 2027

    Institutional H-share placees (best-efforts, at least six) and convertible-bond subscribers; ~60% of proceeds for next-gen GLM R&D, Full Self-Training and compute

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