\n- GPT-5 is fast, accurate, and cost-effective at code generation, beating most rivals in logic and technical tasks.<\/li>\n
- However, with its relatively small context window, it’s weak in creative and right-brain output.<\/li>\n
- It’s still a work in progress and will likely get better as OpenAI iterates with updates.<\/li>\n<\/ul>\n<\/div>\n
OpenAI finally dropped GPT-5 last week, after months of speculation and a cryptic Death Star teaser from Sam Altman that didn’t age well.<\/p>\n
The company called GPT-5 its „smartest, fastest, most useful model yet,” throwing around benchmark scores that showed it hitting 94.6% on math tests and 74.9% on real-world coding tasks. Altman himself said the model felt like having a team of PhD-level experts on call, ready to tackle anything from quantum physics to creative writing.<\/p>\n
The initial reception split the tech world down the middle. While OpenAI touted GPT-5’s unified architecture that blends fast responses with deeper reasoning, early users weren’t buying what Altman was selling. Within hours of launch, Reddit threads calling GPT-5 „horrible,” „awful,” „a disaster,” and „underwhelming” started racking up thousands of upvotes.<\/p>\n
The complaints got so loud that OpenAI had to promise to bring back the older GPT-4o model after more than 3,000 people signed a petition demanding its return.<\/p>\n
\n