How well can we measure open model inference share?
Source
interconnects.ai
Author
Nathan Lambert
Date
Why it matters
Estimates how large the open-model inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → market is relative to closed labs, using provider and OpenRouter data, which helps you judge whether to rely on open models for cost and availability.
Terms in this piece · Glossary
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
