OpenAI has removed the five‑hour usage restriction for Plus, Pro and Business plans, boosted GPT‑5.6 Sol’s efficiency, and issued a one‑time usage reset. The move gives developers extra bandwidth for coding and agent‑based tasks while keeping the model’s limits in place.
Key Takeaways
- OpenAI temporarily removes the 5‑hour usage limit for Plus, Pro and Business subscriptions.
- GPT‑5.6 Sol becomes more token‑efficient, extending usable capacity per session.
- A one‑time usage reset grants all users additional room, though the model is not unlimited.
On Sunday, OpenAI announced via an X post that it is temporarily relaxing the usage limits on its flagship GPT‑5.6 Sol model after an unprecedented surge in demand for Codex and ChatGPT Work over the past 48 hours. The company has lifted the five‑hour rolling window for Plus, Pro and Business plans and simultaneously reset every user’s consumption counter.
Why the sudden change?
Product lead Tibo explained, “The last 48 hours of Codex and ChatGPT Work have been intense. We’re temporarily removing the 5‑hour usage limit restriction for all Plus, Business and Pro plans.” The statement underscores that enterprise developers, data scientists, and AI‑first startups are now heavily relying on GPT‑5.6 Sol for large‑scale code generation, autonomous agents, and real‑time assistance.
Efficiency upgrades under the hood
OpenAI also revealed that the model has been tuned to consume fewer tokens per request, effectively making each session last longer before hitting the cap. While the exact engineering tweaks remain proprietary, analysts suspect a combination of reduced token‑per‑word overhead, smarter caching, and refined sampling algorithms. The net effect is a noticeable drop in the “usage meter” for identical workloads.
One‑time usage reset – what it means for you
The reset clears current usage tallies, granting users a fresh quota across all plans. Although the model is still bounded by overall weekly and monthly caps, the immediate relief allows developers to resume intensive workloads—such as batch code refactoring or multi‑agent simulations—without waiting for the window to roll over.
Implications and future outlook
By loosening limits and improving efficiency, OpenAI signals a strategic push to embed GPT‑5.6 Sol deeper into production pipelines. However, the move also raises questions about cost management and infrastructure scaling, as higher throughput could pressure OpenAI’s backend resources. Industry observers predict that subsequent pricing tiers may become more granular, offering pay‑as‑you‑go token packages to accommodate both startups and large enterprises.
