
OpenAI has temporarily lifted the 5-hour daily usage limit on ChatGPT Work and its Codex coding agent for paid subscribers, applying only weekly caps instead. Alongside this, the company is improving the efficiency of its top-tier GPT-5.6 Sol model so users can accomplish more tasks while consuming less of their usage quota. The changes take effect as the service reaches 6 million active users.
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Sign up free →What happened
OpenAI announced on July 12 that it is temporarily removing the 5-hour usage cap set on its desktop AI tool ChatGPT Work and its accompanying AI coding agent Codex. Paid plan users (Plus, Pro, and Business tiers) will now have only weekly limits applied. The company is also marking 6 million active users by resetting accumulated usage.
Why it matters
Removing the daily usage cap makes these tools more accessible for paid subscribers who need extended work sessions, potentially improving the value proposition of OpenAI's premium offerings. The efficiency improvements to GPT-5.6 Sol (the top-tier AI model) aim to deliver more tasks while consuming less usage quota, lowering the cost-per-result for business users.
What to watch
OpenAI is rolling out efficiency changes to GPT-5.6 Sol in stages; the exact timeline and scope of improvements to consumption rates are still being deployed.
The removal of the 5-hour daily limit reflects OpenAI's effort to make ChatGPT Work more practical for paying customers who may need longer uninterrupted sessions. By timing this change alongside the milestone of 6 million active users, OpenAI is signaling confidence in the product's adoption. The efficiency improvements to GPT-5.6 Sol address a key concern for business users: controlling costs while maintaining capability. By reducing usage consumption per task, these changes make premium tiers more economical, potentially encouraging both existing users to rely more heavily on the platform and new users to adopt higher-tier plans. The staged rollout of efficiency gains suggests OpenAI is balancing speed of delivery with quality validation.
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