Chinese AI Models Generate Only 10% of OpenAI and Anthropic Revenue Combined, Rhodium Group Finds

Chinese AI Models Trail Far Behind in Revenue Generation

Chinese AI models are experiencing explosive adoption rates, but a stark revenue reality has emerged. According to Rhodium Group research published Thursday, all Chinese AI models combined generate only about 10% of the AI revenue reported by OpenAI and Anthropic1

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. Using annual recurring revenue (ARR) as the metric—calculated by multiplying recent monthly figures by 12—OpenAI alone commands $40 billion in ARR, while Anthropic reaches $65 billion2

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. In contrast, China's entire AI ecosystem totals approximately $10.7 billion in ARR3

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Breaking Down the Numbers Across Major Players

Among Chinese AI companies, ByteDance leads with $4 billion in ARR, followed by Alibaba at $2.4 billion1

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. Z.ai recently told investors its latest ARR stands at $1.8 billion, while raising year-end forecasts to $3 billion from a previous $2.4 billion projection1

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. Moonshot reports $1 billion in ARR, MiniMax sits at $800 million, and DeepSeek registers the lowest among major players at $500 million2

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. Even with these combined figures, the AI model revenue disparity between US vs Chinese AI companies remains dramatic, highlighting fundamental differences in monetization strategies and market dynamics.

Valuation Concerns Mount Despite Growth Momentum

The Rhodium Group research raises critical questions about AI company valuations in China. "Valuations relative to revenue appear exorbitant for Moonshot and DeepSeek at present," the report states, noting estimated ratios of 50x and 163x respectively for these startups1

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. These figures dwarf the 34x ratio for OpenAI and 21x for Anthropic1

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. Several companies are moving toward public listings—Anthropic reportedly expects to list in the U.S. next month, while Moonshot has reportedly filed confidentially for a Hong Kong IPO and DeepSeek is also preparing for a listing1

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. Market volatility has already impacted Chinese AI stocks, with Z.ai shares tumbling to spring levels after briefly tripling over the summer1

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Sustainability Challenges and Financing Dependencies

Chinese AI companies face mounting sustainability challenges as revenue fails to cover aggressive capital expenditures. China's AI buildout represents roughly 15% to 20% of U.S. investment levels, with AI capital expenditures projected to double this year to 932 billion yuan (approximately $139 billion) and exceed 1.2 trillion yuan (about $193 billion) in 20273

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. "China's AI firms face similar cash flow problems to their U.S. counterparts, with revenues failing to cover aggressive capex plans by wide margins," the Rhodium report notes3

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. Chinese companies rely heavily on equity financing and bank loans rather than bond financing used by U.S. counterparts3

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. Rhodium estimates over 60% of equity investment in Chinese AI chips and servers came from state-affiliated sources1

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The Path Forward and Market Implications

Logan Wright, Rhodium Group partner, warns that "the financing gap means it will be far more difficult for Chinese frontier AI labs to scale sustainably." He notes they "will be heavily dependent upon a favorable climate in the equity market—historically that's not an easy bet in China"1

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. Chinese AI labs are exploring ways to capture more revenue from third parties offering model access, though their open-source nature allows independent downloads with capable hardware1

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. The cost per task for leading models from OpenAI and Anthropic remains significantly higher than Chinese models, according to AI-comparison firm Artificial Analysis1

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. Government funding has supported hardware and compute capacity buildout but is likely to remain focused on chips rather than direct funding for frontier labs1

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. Watch whether Chinese companies can bridge this revenue gap before market conditions shift or investor patience wanes.