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Z.ai nears $1bn in sales, and gives its models away
Z.ai (formerly Zhipu) is on track to become the first independent Chinese AI firm with about $1bn in annual sales, per Bloomberg. The angle is commercialisation: Z.ai is monetising at scale while open-sourcing its best models, an approach the cash-burning Western labs have struggled to match. The piece flags that the $1bn figure is a forward projection leaning partly on annualised recurring revenue, that the company is still lossmaking, and that much of its revenue comes from state-owned buyers. One of China's leading AI startups is closing in on a milestone the rest of the industry keeps missing. Z.ai, the company behind the GLM models, is set to become the first independent Chinese AI firm with $1bn in annual sales, Bloomberg reports. The claim is a projection, not a booked result. But the trajectory behind it is real, and it points at something the West has struggled to copy. Z.ai is making money at scale while open-sourcing its strongest models. That combination is not supposed to work. The numbers The base is small but the growth is not. Z.ai's 2025 revenue was about 724m yuan, roughly $100m, up 132% on the year. The forecasts are steep. JPMorgan expects 2026 revenue of about 4.6bn yuan, rising to 30.9bn yuan by 2028, the year it projects the company will finally turn a profit. The billion-dollar line needs one caveat. It leans partly on annualised recurring revenue, a run-rate snapshot, rather than a full year of booked sales, and even JPMorgan's 2026 revenue forecast sits below it in dollar terms. How it actually makes money The mix is enterprise-heavy. A large share comes from on-premises deployments for state-owned enterprises and financial institutions, alongside a fast-growing cloud business. The API side is the momentum story. Annualised recurring revenue from its open platform reached 1.7bn yuan, up sixtyfold in a single year. The open-source paradox Here is the part that confounds the Western playbook. Z.ai releases its most capable models, including GLM-5.2, as open-source software anyone can download and run for free. Giving the model away is supposed to destroy the ability to charge for it. Z.ai is betting the opposite, that free models drive adoption, and adoption sells cloud, support, and on-premises deployments. It is the instinct its founder Tang Jie has defended in public, arguing frontier AI should stay open to everyone. The revenue figures are the commercial case for that philosophy. Why it matters Most AI companies, American and Chinese, lose enormous sums. Z.ai is no exception yet, and its losses have kept climbing even as revenue soars. But approaching $1bn in sales is a different order of maturity from the pure cash-burn most labs live in. It suggests China's machine for turning technology into revenue is now firmly pointed at AI. TNW has argued that China's real edge is commercialisation, not subsidies, the knack of scaling and monetising faster than anyone. Z.ai is that thesis applied to large language models. The caveats worth keeping The billion-dollar number is a forward projection, and projections in AI have a short shelf life. The company is still lossmaking, and much of its revenue leans on state-owned buyers, which blurs the line between commercial demand and state support. The valuation is extraordinary too, at roughly $112bn after a rally of well over 1,000% since its January listing. Z.ai has already raised billions in a follow-on share sale, and the price assumes the projections come true rather than reflecting where the business is now. It also operates in a brutal market, with cheap Chinese models undercutting each other and the US labs on price. Reaching $1bn in sales is one thing, and keeping enough margin to profit from it is another. Still, the milestone would be a real one. Chinese AI's story so far has been capability catching up and capital pouring in, and revenue at this scale is the first sign it can also start paying for itself.
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Z.ai nears $1 billion in annual sales: free models, paid enterprise push
State firms and banks supplied nearly three-quarters of 2025 revenue Chinese AI company Z.ai, the outfit formerly called Zhipu, is getting close to the $1 billion annual sales line in 2026. Bloomberg says the company is reaching that level through a combination of booked revenue and annualized recurring revenue. Bloomberg reports that Z.ai brought in 724 million yuan in 2025, roughly $100 million, up 131.9% from a year earlier. JPMorgan projects about 4.6 billion yuan in 2026 and 30.9 billion yuan by 2028. Taken together, that puts Z.ai among the clearest examples of China's AI companies turning attention into actual paying customers, and doing it at scale, not just piling up downloads, hype, and fresh funding rounds. Bloomberg says Z.ai gets there by offering free models such as GLM-5.2, then charging for cloud access, enterprise customization, technical support, and on-premises deployments. Reportedly, 73.7% of its 2025 revenue came from deployments at state-owned enterprises and financial institutions. On Bloomberg's numbers, Z.ai's open-platform ARR hit 1.7 billion yuan, about 60 times higher than the year before. API usage also kept climbing, up 400% even after an 83% price increase in Q1 2026. There's still a catch: Bloomberg says Z.ai posted a 2025 net loss of 4.72 billion yuan, and JPMorgan doesn't expect the company to turn a profit until 2028. If you pay attention to AI business models, this one is worth tracking as Z.ai goes up against Moonshot AI, MiniMax, DeepSeek, Alibaba, and ByteDance, while also pushing into the Middle East, Singapore, the UK, and Malaysia. GLM-5.2 is available as a free download. Z.ai's paid services, meanwhile, are aimed at enterprise customers.
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Chinese AI startup Z.ai is closing in on $1 billion in annual sales by 2026, making it the first independent Chinese AI firm to reach this scale. The company's strategy of open-sourcing its most capable models like GLM-5.2 while monetizing through enterprise deployments and cloud services is proving that giving away frontier AI doesn't destroy commercial viability—it drives it.
Z.ai, formerly known as Zhipu, is on track to become the first independent Chinese AI startup to hit approximately $1 billion in annual sales by 2026, according to Bloomberg.
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The company's approach to AI commercialization challenges conventional wisdom: it open-sources its most powerful models while building a profitable enterprise business around them. This revenue milestone represents a significant shift in how AI companies can monetize their technology, particularly as Western labs continue to burn through capital without comparable sales figures.The projection relies partly on annualized recurring revenue rather than fully booked sales, and Z.ai remains unprofitable. But the trajectory tells a compelling story about China's ability to turn AI capabilities into actual commercial demand at scale.
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Z.ai brought in 724 million yuan in 2025, roughly $100 million, representing 132% year-over-year growth.
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JPMorgan projects revenue will climb to approximately 4.6 billion yuan in 2026, then surge to 30.9 billion yuan by 2028—the year analysts expect the company to finally turn profitable.1
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The company posted a net loss of 4.72 billion yuan in 2025, and losses have continued climbing even as revenue soars.
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Yet approaching $1 billion in sales represents a different level of business maturity compared to pure cash-burn operations that dominate the AI landscape. The annualized recurring revenue from Z.ai's open platform reached 1.7 billion yuan, up sixtyfold in a single year.1
API usage jumped 400% even after the company implemented an 83% price increase in Q1 2026.Z.ai releases its most capable models, including GLM-5.2, as free AI models that anyone can download and run.
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This strategy of open-sourcing models contradicts the typical Western playbook where proprietary technology forms the basis of competitive advantage. The company's founder Tang Jie has publicly defended this approach, arguing that frontier AI should remain accessible to everyone.1
The commercial case for this philosophy shows up in the revenue mix. Z.ai monetizes through paid enterprise services including cloud access, enterprise customization, technical support, and enterprise on-premises deployments.
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State-owned enterprises and financial institutions supplied 73.7% of 2025 revenue through on-premises installations.2
The cloud business is growing rapidly alongside this enterprise-heavy mix, suggesting the free-model strategy successfully drives adoption that converts into paying customers.Related Stories

Source: Softonic
The dependence on state-owned enterprises raises questions about the line between genuine commercial demand and state support. Nearly three-quarters of revenue flowing from government-linked entities suggests Z.ai's success may reflect policy priorities as much as market validation.
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The company's valuation reached approximately $112 billion after rallying over 1,000% since its January listing, and it has raised billions in follow-on share sales.1
Z.ai operates in an intensely competitive environment, facing off against Moonshot AI, MiniMax, DeepSeek, Alibaba, and ByteDance domestically while pushing into international markets including the Middle East, Singapore, the UK, and Malaysia.
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Cheap Chinese models continue undercutting each other and US labs on price, making it challenging to maintain margins even while hitting revenue targets. Reaching $1 billion in sales is one achievement; extracting profit from that scale in a price-competitive market is another challenge entirely.1
Z.ai's trajectory suggests China's real competitive advantage lies in commercialization speed rather than pure technical innovation or subsidies. The ability to scale and monetize faster than competitors is now firmly directed at large language models.
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For AI companies worldwide struggling to justify massive valuations with actual revenue, Z.ai offers a working model: free access drives adoption, adoption creates enterprise demand, and enterprise customers pay for deployment, customization, and support.The revenue milestone would mark the first sign that Chinese AI can start paying for itself rather than relying indefinitely on venture capital and state funding. Whether Western labs can adapt this approach, or whether their cost structures and go-to-market strategies make it impossible to replicate, will shape the competitive landscape through 2028 when JPMorgan expects Z.ai to achieve profitability.
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Watch how enterprise buyers respond to the open-source-plus-services model, and whether competitors follow Z.ai's lead or stick with proprietary approaches.Summarized by
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