This paper documents three stylized facts about the demand for Large Language
Models (LLMs) using data from OpenRouter, a prominent LLM marketplace. First,
new models experience rapid initial adoption that stabilizes within weeks.
Second, model releases differ substantially in whether they primarily attract
new users or substitute demand from competing models. Third, multihoming, using
multiple models simultaneously, is common among apps. These findings suggest
significant horizontal and vertical differentiation in the LLM market, implying
opportunities for providers to maintain demand and pricing power despite rapid
technological advances.