The biggest complaint was that GPT-5 did away with all legacy models, including the fan-favorite GPT-4o, which upset users with specific workflows as well as others who had developed emotional attachment to the models. GPT-5 also purported to "intelligently" switch between its own models based on user prompts, but it wasn't initially clear which model you were actually interacting with, further frustrating users. In short, it was a bit of a mess.
Here are the different models, and how each is intended to work:
Fast: OpenAI says this model provides "instant answers." While it's certainly fast, it does require some loading time—but the model is not "thinking" like a reasoning model does.
Thinking: This is GPT-5's most "powerful" model, and it takes its time "thinking" with the goal of offering the best answer possible. When I tried this model with the prompt above, it thought for 21 seconds before answering.
As Sam Altman noted in his post on X, the rate limit for GPT-5 Thinking is 3,000 messages per week. If you hit that, you'll get extra capacity on GPT-5 Thinking mini. Altman thinks Auto is the model most users will want to use, though I'm not sure. I'd bet most users actually don't want to worry about running up against rate limits, which Auto could help with. But at the same time, people who use ChatGPT might like the additional control over their model. If you want ChatGPT to think about an answer longer, but the model thinks your prompt is simple, it might not think for as long as you'd expect it to—and the answer you get back might not be what you're looking for.
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