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Smaller, cheaper language models running locally on regular computers now match frontier AI models on most tasks while costing 50-85% less to run, threatening the business model of OpenAI and Anthropic just as they face massive compute contracts coming due in 2027-2028.
- Chinese AI models are 4-6x cheaper than US alternatives (Kimi K3 at $12 vs Claude at $49) while delivering nearly identical performance, and have already captured 60% of global market share on OpenRouter.
- Small language models achieve 88.7% accuracy on real-world queries and now match frontier models on 81.2% of typical mixed workloads, with performance improving 5.3x between 2023-2025 as local hardware accelerators advance.
- OpenAI and Anthropic face $852B in compute payments due in 2027-2028 from take-or-pay contracts, but need to extract $400B+ annually from enterprise customers to break even—a hard sell when companies can run equivalent models in-house for a fraction of the cost.