The AI pricing war just got very lopsided. A UBS report finds that roughly 60% of companies actively tracking their AI budgets are now migrating workloads toward cheaper models, with Chinese open-source alternatives leading the charge.
The reason is straightforward: certain Chinese AI models cost as little as $2 to $3 per million output tokens, compared to around $15 for comparable US models.
The numbers behind the migration
A JPMorgan analysis puts the price differential in sharper relief. Select Chinese AI models are up to 50 times cheaper per token than their American counterparts, while maintaining competitive performance across standard benchmarks.
The cost of inference for certain Chinese models runs 10 to 20 times lower than leading US models. For routine tasks like answering FAQ-style questions or generating boilerplate text, enterprises are increasingly concluding that paying premium prices for premium models is simply unnecessary.
