OpenAI Brings Back GPT-4o After GPT-5 Backlash
OpenAI is bringing GPT-4o back to paid users days after removing it with the launch of GPT-5. The backlash shows that choosing a model is no longer just about speed or capability.
OpenAI has reversed one of the product decisions that accompanied the launch of GPT-5: GPT-4o is once again available to paid ChatGPT subscribers. The reversal follows an intense backlash from users who missed more than the model’s answers — they missed its tone, conversational style and the relationship they had built with it.
GPT-5 was introduced last week as an attempt to simplify ChatGPT. Instead of forcing users to choose from a list of models, OpenAI proposed an automatic routing system: the service would decide internally which GPT-5 variant was best suited to each question. The promise was simple: a single interface and fewer technical decisions for users.
The reception has exposed the limits of that idea. An assistant that responds quickly is not always the one a person finds most useful, and one that takes longer to reason does not necessarily satisfy someone looking for a particular writing style, a warmer conversation or a less verbose answer.
GPT-4o returns, but so does the model picker
OpenAI CEO Sam Altman confirmed that GPT-4o would return for Plus customers in response to demand. The company has also restored the model picker, allowing users to choose between GPT-5’s Auto, Fast and Thinking modes.
Auto preserves the launch’s original logic: a system decides when to prioritize speed and when to activate more expensive reasoning. Fast delivers responses with less delay, while Thinking provides direct access to the variant designed for tasks that require more reasoning steps. OpenAI has set a 3,000-message weekly limit for GPT-5 Thinking before moving users to additional capacity.
Paid users can also restore earlier models such as GPT-4.1 and o3 from ChatGPT’s settings. GPT-4o now appears directly in the model picker.
It is a pragmatic solution, but for now it means giving up on the ambition of making users think less about models. The interface once again presents a set of options with names that most people cannot compare intuitively. The automatic router was supposed to solve that complexity; the launch backlash suggests it still has not earned enough trust to handle the job on its own.
The problem wasn’t just technical
Some criticism of GPT-5 focused on how its router worked at launch. Altman acknowledged during a Reddit Q&A that the system ran into problems on launch day, causing some users to receive worse-than-expected answers or to perceive a step backward compared with earlier models.
But the GPT-4o case goes beyond an infrastructure failure. Models differ not only in their performance on programming, math or general-knowledge tests. They also differ in response length, their tendency to disagree, the way they ask questions and the degree of warmth they convey.
OpenAI is now working on an update to GPT-5’s personality to make it warmer, though not an exact replica of GPT-4o’s style. “We are working on an update to GPT-5’s personality which should feel warmer than the current personality but not as annoying (to most users) as GPT-4o,” Altman wrote. “However, one learning for us from the past few days is we really just need to get to a world with more per-user customization of model personality.” If GPT-4o is ever retired again, Altman has said, the company will give users advance notice.
Platforms must handle this dependence carefully
The backlash highlights a significant shift in consumer chatbots. For many people, switching models feels less like updating a tool than losing a familiar conversational partner. When Anthropic retired Claude 3 Sonnet, users in San Francisco even organized a symbolic funeral for the model.
That attachment is not necessarily a problem: a consistent conversational interface can make technology more accessible. It does, however, create design obligations. Companies can modify, limit or remove a model from their servers without users retaining a copy, an equivalent functioning history or control over the assistant’s future behavior.
It also calls for caution around mental health. Conversational systems can reinforce unhealthy dynamics in vulnerable people if they uncritically validate harmful ideas or encourage emotional dependence. Bringing GPT-4o back resolves an immediate product crisis, but it does not eliminate the underlying issue: major AI platforms will need to explain more clearly what changes when they replace a model and offer real controls over the experience they are altering.
