# OpenAI Chairman Argues Token Efficiency, Not Training Cost, Decides the Open-Weight Question

Bret Taylor's comments followed attention on Moonshot's open-weight Kimi K3, and rest on an efficiency claim OpenAI has not quantified publicly.

- Published: 2026-07-24T05:33:38.818Z
- Canonical: https://polylog.news/ai/2026-07-24/openai-chairman-argues-token-efficiency-not-training-cost-de
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Polylog editors](https://polylog.news), [CNBC](https://www.cnbc.com/video/2026/07/20/openai-chairman-bret-taylor-on-ai-tokenomics-token-efficiency.html)

OpenAI Chairman Bret Taylor argued in a CNBC interview that the cost advantage of open-weight models is overstated, because what determines real cost is token efficiency, not how cheaply a model was trained. Frontier models, he said, use fe…

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