ChatGPT Users Frustrated as OpenAI Removes Popular Models GPT-4o and o3, Enterprise API Spared for Now

In a surprising move, OpenAI has announced the removal of several popular models from ChatGPT, including the widely used GPT-4o and o3, leaving users dismayed. This decision, aimed at transitioning to newer models like GPT-5, has sparked significant backlash among the platform's community, who have grown accustomed to the reliability and performance of the older models.

User Backlash Over Model Removal

Many ChatGPT users have expressed their frustration on social media and forums, highlighting how the sudden removal of these models disrupts their workflows. Freelancers, developers, and businesses that relied on the specific capabilities of GPT-4o are now forced to adapt to the newer, less familiar GPT-5 model, which some claim lacks the same tone and precision.

The decision to pull these models was initially presented as a step forward by OpenAI, with the company emphasizing improvements in efficiency and capabilities with the latest rollout. However, the immediate replacement without a transition period has left many feeling unheard, prompting calls for the reinstatement of GPT-4o or at least a more gradual phase-out.

Enterprise API Remains Unaffected

Amid the controversy, OpenAI has confirmed that the Enterprise API will remain unaffected for the time being, providing some relief to corporate clients. This exemption ensures that larger organizations with custom integrations can continue their operations without immediate disruption, though questions linger about future updates to the API.

As the situation unfolds, OpenAI faces mounting pressure to address user concerns. Recent posts on social media platforms and news updates suggest that the company may reconsider its approach, with some reports indicating a potential return of older models in response to the outcry, though no official confirmation has been made as of now.

For now, the ChatGPT community waits anxiously for further announcements, hoping for a resolution that balances innovation with user needs. The incident underscores the challenges tech companies face when rolling out major updates to widely used platforms.