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Why does everyone seem to hate GPT-5? This question has been buzzing around the AI community ever since OpenAI launched its latest model. The excitement was palpable, with many expecting a groundbreaking AI that would leave its predecessors in the dust. However, the reality of GPT-5's release has left many feeling disappointed.
When GPT-5 was announced, the anticipation was sky-high. OpenAI's Sam Altman teased a model that would revolutionize AI, making other models like Claude Opus and Gemini 2.5 Pro seem outdated. Many believed that GPT-5 would set new standards in AI performance, especially in coding and problem-solving tasks.
Unfortunately, the reality did not match the hype. Users quickly reported that GPT-5 fell short of expectations. Many noted that it struggled with basic tasks and even scored poorly on IQ tests compared to its competitors. The model's performance was inconsistent, often switching between different versions, which led to confusion and frustration among users.
| AI Model | IQ Score | Performance |
|---|---|---|
| GPT-5 | 57 | Inconsistent |
| Claude Opus | High | Reliable |
| Gemini 2.5 Pro | Strong | Efficient |
Many users expressed their dissatisfaction on social media, highlighting issues like poor coding assistance and incorrect answers to simple math problems. The overall sentiment was that GPT-5 was more about cost-cutting for OpenAI than about pushing the boundaries of AI technology.
Why does everyone seem to dislike GPT-5? This question has been buzzing around since its release. Many users expected a groundbreaking AI model from OpenAI, but the reality fell short. Criticism has been rampant, with users expressing disappointment over its performance compared to other models. The hype surrounding GPT-5 was immense, but it appears that the expectations were not met.
One of the main complaints is that GPT-5 does not perform as well as its competitors like Claude Opus and Gemini 2.5 Pro. Users have reported that GPT-5 struggles with basic tasks, sometimes even scoring poorly on IQ tests. For instance, it scored a mere 57 on an IQ test, while other models scored significantly higher. This has led many to question the capabilities of GPT-5 and whether it can keep up with the advancements in AI technology.
Another significant issue is the model switching feature. Users have found that unless they pay for the premium version, they might not be using GPT-5 at all. Instead, they could be defaulting to older, less capable models. This inconsistency can lead to frustrating experiences, especially when users expect a certain level of performance. The lack of clarity about which model is being used at any given time adds to the confusion and dissatisfaction.
| Model | IQ Score | Performance |
|---|---|---|
| GPT-5 | 57 | Low |
| Claude Opus | 115+ | High |
| Gemini 2.5 Pro | Varies | High |
In conclusion, while GPT-5 has some potential, its current performance and issues with model switching have left many users feeling let down. If you're considering using GPT-5, it might be worth exploring other options first.
Why does everyone seem to dislike GPT-5? This question has been buzzing around since its release. Many expected it to be a groundbreaking AI model, but the reality has been quite different. To understand the reasons behind this sentiment, I decided to conduct my own tests comparing GPT-5 with other models like Claude Opus 4 and Gemini 2.5 Pro.
In my first test, I used a password strength checker. When I entered a password into GPT-5, it scored a 70 out of 100. However, when I tested the same password with Gemini 2.5 Pro, it labeled it as 'strong'. This shows that while GPT-5 provided some feedback, it didn't quite match the performance of its competitors.
Next, I conducted a speed typing test. I found that Claude Opus 4.1 outperformed GPT-5 significantly. I achieved 87 words per minute with Opus, while GPT-5 only managed 69. Not only was Opus faster, but it also had better accuracy in recognizing the words I typed. This further highlighted GPT-5's shortcomings in comparison.
Finally, I tested GPT-5's ability to create a landing page design. While it generated a decent layout, there were numerous issues. Key elements were missing, and the design lacked coherence. After struggling with GPT-5, I switched to Claude Opus for assistance. It quickly identified the problems and provided effective solutions, showcasing its superior problem-solving skills.
| Feature | GPT-5 | Gemini 2.5 Pro | Claude Opus 4.1 |
|---|---|---|---|
| Password Strength Score | 70/100 | Strong | N/A |
| Typing Speed (WPM) | 69 | N/A | 87 |
| Design Issues | Numerous | N/A | Resolved Quickly |
Overall, my tests revealed that while GPT-5 has potential, it currently falls short in several areas compared to its rivals. Users looking for reliable performance might want to consider alternatives like Claude Opus or Gemini 2.5 Pro.
Why does everyone seem to dislike GPT-5? After its much-anticipated release, many users expressed disappointment. They expected a groundbreaking AI model from OpenAI, but instead, they found it lacking compared to competitors like Claude Opus and Gemini 2.5 Pro. The hype surrounding GPT-5 was immense, yet the reality fell short. Users reported issues with performance, accuracy, and even basic functionalities. This raises a crucial question: Is GPT-5 really worth using?
Despite the criticisms, GPT-5 does have its strengths. It can perform well in certain tasks, but many users feel it doesn't measure up to previous models like GPT-3. The removal of older models from the platform has frustrated many, as they relied on those for specific tasks. Users are left wondering if they should stick with GPT-5 or explore alternatives. The mixed reviews suggest that while GPT-5 has potential, it may not be the best choice for everyone.
As we look to the future, the question remains: Will OpenAI improve with GPT-6? The competition is fierce, with models like Claude and Grock making significant strides. If OpenAI wants to stay relevant, they need to address the shortcomings of GPT-5. Users are eager for advancements that truly push the boundaries of AI technology. The landscape is changing rapidly, and the next model will need to deliver on the promises made by its predecessors.
| Model | Strengths | Weaknesses |
|---|---|---|
| GPT-5 | Good at specific tasks | Lacks accuracy and performance |
| Claude Opus | High accuracy | Limited availability |
| Gemini 2.5 Pro | Strong design | Less user-friendly |
