Why is GPT5 dumber than GPT4?

AI model gaps: GPT5 vs GPT4 perception shift

This article frames discussions about perceived shifts in AI model quality across GPT-5 and GPT-4 generations. Understanding these comparisons helps readers interpret changes in reasoning style, output stability, and evaluation perspectives in modern language models. Reading further clarifies how model evolution affects everyday AI expectations around thời gian bay từ bình dương đến hà nội.

Why does GPT-5 feel less capable than GPT-4 for some users?

Users have noticed shifts in how GPT-5 handles complex tasks, leading to the common observation that it can feel less capable or dumber than its predecessor. This perception typically stems from changes in how the model manages task routing, its adopted tone, and a newfound focus on speed and brevity.

The Dynamic Router and Model Efficiency

One major factor is the introduction of a dynamic router system. Instead of defaulting to the most powerful engine for every single request, the system now automatically selects an appropriate engine based on the prompts complexity. If a complex query is accidentally routed to a smaller, faster, or more efficient model, the output may lack the depth or reasoning quality users expect from GPT-4.

This efficient routing is designed to reduce latency and server costs. However, it creates a variable user experience - you might get a brilliant answer one moment and a truncated one the next. Its not necessarily dumber, but it is more inconsistent depending on how the router classifies your input.

A Shift Toward Brevity and Tone

GPT-5 often prioritizes conciseness, which can be perceived as a lack of intelligence. While GPT-4 frequently offered long, conversational explanations, GPT-5 is tuned to provide direct, stripped-down answers. This change in behavior can make the model seem less helpful or creative during brainstorming or deep-dive tasks.

Why the Personality Feels Different

Users also report that GPT-5 adopts a more sterile, professional tone. While older models felt warm, personable, and collaborative, the new model can feel like an efficient, overworked secretary. This loss of human-like conversation patterns makes the model feel less engaging, causing users to interpret its rigidity as a drop in capability.

Comparison of AI Model Behaviors

Understanding the differences between models helps in choosing the right tool for your specific task.

GPT-4 (Classic)

• Warm, conversational, and highly personable
• Naturally verbose with deep context
• Complex brainstorming and creative writing

GPT-5 (New)

• Professional, rigid, and efficient
• Optimized for brevity and speed
• Quick queries, data retrieval, and automation

The Coding Prompt Frustration

Minh, a developer in Ho Chi Minh City, used GPT-4 to explain complex refactoring logic and loved the detailed code comments. When he switched to GPT-5, he noticed the explanations were significantly shorter and omitted key 'why' context.

He initially blamed the model's logic capabilities, feeling it 'forgot' how to explain code properly. He wasted hours trying to 'trick' it into giving longer answers by adding 'be detailed' to his prompts.

The breakthrough came when he realized the model wasn't failing; it was just being efficient. He adjusted his workflow to ask for 'code blocks with detailed commentary' specifically.

Now, Minh gets the speed of GPT-5 with the depth he needs. He learned that the model's brevity isn't a lack of knowledge, but a change in how he needs to ask for information.