China's Zhipu AI more than doubles revenue in 2025 but net loss widens

China's Zhipu AI more than doubles revenue in 2025 but net loss widens

People stand in front of a claw machine filled with lobster-shaped plush toys during a setup session for AutoClaw, a local version of the AI agent OpenClaw developed by Zhipu, at an office building in Beijing, China March 13, 2026. REUTERS/Laurie Chen

One of the leading players in China’s crowded artificial intelligence sector, Zhipu AI, reported revenue growth of 131.9% for 2025 on Tuesday, in its first results update since raising HK$4.35 billion ($554.9 million) in a January listing.

The spinoff from Tsinghua University has drawn attention in Silicon Valley with its latest GLM-5 model, said to match US rivals on several performance metrics.

Revenue from its core business of on-premise deployment, in which Zhipu sells models for installation on clients’ local servers, rose more than 100% to 533.9 million yuan ($77.3 million) in 2025.

Cloud-based revenue from API services sold to enterprises and individuals climbed to 190.4 million yuan.

Zhipu posted a net loss of 4.72 billion yuan for 2025, compared with a loss of 2.96 billion in 2024. Its net adjusted loss for the year was 3.18 billion yuan.

The company has said it expects to reach profitability through revenue growth and improved operating efficiency, without giving a timeframe.

The results come amid growing competition in China’s AI sector, as companies race to release updated models and step up marketing.

Zhipu, also known as Knowledge Atlas Technology, competes with startups such as MiniMax, Moonshot AI and DeepSeek, as well as internet giants ByteDance and Alibaba.

Rival MiniMax posted a net loss of $1.87 billion for 2025.

Zhipu has been expanding abroad, particularly in Southeast Asia, but China remains its primary market.

Reuters

Bring stories like this into your inbox every day.

Sign up for our newsletter - The Daily Brief
Subscribe to Newsletter


This is your last free story for the month. Register to continue reading our content