ZeroHedge72%
China's AI Models: The Definitive LLM Primer 73%
By Tyler Durden63%
7/9/2026, 8:51:00 PM
Keywords: AI Models, China, Llm, Large Language Models, Artificial Intelligence, Technology, Goldman Sachs, Ubs
BS Summary: This article contains 20 faulty reasoning types, including Appeal to Authority, Confirmation Bias, and Recency Bias, with Attempt to Sell a Product or Service as the most egregious example at 61.9% saturation with 143 hits. Analysis detected 1,114 faulty-reasoning hits from 231 analyzed words, generating a BS Score of 65.2% and a BS Rank of 73% (5,973 of 21,887 articles). This article is worse (more manipulative) than 72.70% of the article peer group.
Three weeks ago, we attempted a lengthy answer of the "trillion dollar question" namely are Chinese AI models a better value than US models and, using extensive research from UBS, concluded that at almost 95% of the capability (and rising) and just 10% of the cost, the answer was a resounding yes.
Fast forward to today when Goldman analyst Ronald Keung also addressed the $64 trillion elephant in the room, and published a 50-page China AI models LLM primer (available to pro subs), in which he agrees with our conclusion, namely that "China's AI open-source/open-weight models are reaching a critical point of intelligence performance vs. global proprietary models, with a significant ramp up in domestic enterprise & global SME adoption that will enable a positive data flywheel of further model improvement."
From DeepSeek’s moment last year (on cost efficiency) to Zhipu’s GLM moment this year (on model intelligence).
Signposts for 2H 2026
How do Chinese models achieve competitive performance at low costs/tight computing resources
Why are Chinese models pursuing an open source/open weight approach, and ways to monetize?
What are the key addressable markets, domestically and internationally, and key risks?
Who are best positioned to be the long term winners?
Introducing our Competitive Positioning framework
Foundation models
Appendix
China's Key Players at a Glance: Mega-caps
China's Key Players at a Glance: Key Independent Players
Speakers
1speaker34%attributed speech152writer words
Voice mapSelect a segment to jump to its words
Selected voice
100%flagged-word coverageRonald Keung
79 attributed words100% of attributed speech68% writer coverage
Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.
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Analysis
Hover over highlighted words in the article to view the associated bias or fallacy analysis.