OpenAI 28-Day Pledge Delivers 50% Faster GPT-6 Speed
OpenAI product lead Thibault Sottiaux, known as Tibo, said the first day of the company’s 28-day improvement pledge delivered a roughly 50% speed increase for GPT-6 Astra and GPT-6.1 Sol. Default output speed reportedly rose from about 30 to 50 tokens per second across OpenAI products and third-party services using Sign in with ChatGPT, including OpenCode, Pi, Amp and Devin. Users do not need to change settings, and the improvement was expected to roll out within two hours.
The update follows performance problems after GPT-6.1 Sol launched on 29 September, when heavy demand caused slower responses. Tibo had promised a daily improvement for Codex and ChatGPT Work users or a full reset of usage allowances. However, OpenAI provided no independent testing, measurement methodology or changes to usage limits, so the 50% figure remains an internal claim.
On day two, OpenAI made Auto-review free and excluded it from usage quotas, consolidated API pricing tiers from five to three, introduced meeting notes, and opened the Decisions API beta. A user poll recorded 76% of 74,565 votes calling for a reset, suggesting that speed improvements alone may not satisfy subscribers.
Neutral
The market impact is neutral because the announcement concerns AI product performance rather than a cryptocurrency, blockchain network or token economy. Faster GPT-6 responses could strengthen OpenAI’s competitive position and increase demand for AI-related services, but the article offers no direct link to crypto revenues, token adoption or on-chain activity.
In the short term, traders may react to broader AI-sector sentiment, particularly if OpenAI’s product improvements influence valuations of AI infrastructure, semiconductor or cloud companies. However, the lack of independent verification, unchanged usage limits and strong user demand for a quota reset reduce the likelihood of a decisive positive market signal. Similar software-performance announcements have generally produced brief sentiment moves rather than sustained crypto trends.
Over the long term, wider AI adoption could support demand for computing infrastructure and decentralized AI projects. That effect would depend on measurable user growth, enterprise adoption and investment flows. Until those indicators appear, crypto traders should treat this as a sector-adjacent technology update, not a direct bullish or bearish catalyst.