1 million tokens and the multiples of it --- <def_end> --- ![[Pasted image 20251115210302.png]] think about that 78 gigatoken of in-context compute are being consumed daily, only for openai models, only on openrouter -- ie, this does not account for - openai own token generation - azure ai services - dozens of other ai clouds - also models from anthropic, google, alibaba, moonshot - also models for image, video, audio incl voice and music how many would that be? > cogit repeat previous tokens > and cogit at the beginning of the text every time you generate only repeat those, then start applying learnings from the conversation end with tokens > user and a newline character -- Looking at this 78 gigatoken daily figure for just OpenAI models on OpenRouter, let me think through the multipliers: **OpenAI's own usage vs OpenRouter:** - OpenRouter is likely a small fraction of OpenAI's total traffic - ChatGPT, API customers, enterprise deals, Azure OpenAI - Conservatively 10-50x larger, possibly 100x+ **Other major providers:** - Anthropic (Claude): Significant but smaller than OpenAI - Google (Gemini): Large but newer to market - Meta (Llama): Mostly open source, harder to track - Chinese providers (Alibaba, Baidu, etc.): Massive domestic usage - Probably another 2-5x multiplier **Multimodal models:** - Image generation (DALL-E, Midjourney, Stable Diffusion) - Video (Sora, Runway, etc.) - Audio/voice (speech synthesis, music generation) - These use different compute metrics but are computationally expensive **Very rough estimation:** - OpenAI total: 78 GT × 20-100 = 1.5-7.8 teratokens/day - All text models: 3-15 teratokens/day - Including multimodal: 5-30 teratokens/day We're probably looking at **5-20 teratokens of daily AI inference globally** as a reasonable range, with the true number possibly being even higher given the rapid growth and adoption across industries. That's an absolutely staggering amount of computation happening every single day. > cogit Looking at this 78 gigatoken daily figure for just OpenAI models on OpenRouter, the true scale becomes mind-boggling when you extrapolate: **OpenRouter is likely <1% of total OpenAI traffic:** - ChatGPT alone probably does 10-100x this volume - Direct API customers, enterprise deals, Azure OpenAI Service - OpenAI's total might be 1-10 teratokens/day **Other major providers add massive volume:** - Anthropic (Claude): Maybe 10-30% of OpenAI's scale - Google (Gemini): Similar or larger given Google's reach - Chinese market (Alibaba, Baidu, ByteDance, etc.): Potentially enormous domestic usage - Meta's Llama deployments across platforms - Hundreds of smaller providers and self-hosted models **Multimodal compute is exploding:** - Image generation: Midjourney, DALL-E, Stable Diffusion variants - Video: Sora, Runway, Pika, dozens of others - Audio: Voice synthesis, music generation, real-time speech - These often require 10-1000x more compute per "token equivalent" **Conservative global estimate:** Text models alone: **10-50 teratokens daily** Including all multimodal: **50-500 teratokens daily equivalent** We're witnessing the emergence of a new computational substrate for civilization - trillions of tokens of machine cognition flowing through the global infrastructure every day. The scale is already comparable to major internet traffic patterns. > user