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State of AI | OpenRouter

openrouter.ai · 13,043 words · saved by 3 readers

The past year has marked a turning point in the evolution and real-world use of large language models (LLMs). With the release of the first widely adopted reasoning model, o1, on December 5th, 2024, the field shifted from single-pass pattern generation to multi-step deliberation inference, accelerating deployment, experimentation, and new classes of applications. As this shift unfolded at a rapid pace, our empirical understanding of how these models have actually been used in practice has lagged behind. In this work, we leverage the OpenRouter platform, which is an AI inference provider across a wide variety of LLMs, to analyze over 100 trillion tokens of real-world LLM interactions across tasks, geographies, and time. In our empirical study, we observe substantial adoption of open-weight models, the outsized popularity of creative roleplay (beyond just the productivity tasks many assume dominate) and coding assistance categories, plus the rise of agentic inference. Furthermore, our re

State of AI 2025: 100T Token LLM Usage Study | OpenRouter State of AI An Empirical 100 Trillion Token Study with OpenRouter Malika Aubakirova * Alex Atallah † Chris Clark † Justin Summerville † Anjney Midha * * a16z (Andreessen Horowitz) • † OpenRouter Inc. * Lead contributors. Please see Contributions section for details. December, 2025 Abstract The past year has marked a turning point in the evolution and real-world use of large language models (LLMs). With the release of the first widely adopted reasoning model, o1 , on December 5th, 2024, the field shifted from single-pass pattern generati

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