I’ve used 5.4 a lot, it sounds better, but it thinks worse, so they really shouldn’t remove 5.1 yet. This is my honest review.
A viral review argues GPT-5.4 sounds better but reasons worse, making the older 5.1 model superior for research.
A detailed and viral user review on Reddit is challenging OpenAI's model progression narrative, arguing that the older GPT-5.1 is a more capable and intelligent model than the newer GPT-5.4. The reviewer, a long-time subscriber, conducted comparative tests on tasks like analyzing a fictional Pokémon game launch and a 'Punch the monkey' scenario. They found that while GPT-5.4 produces more natural-sounding text and follows instructions better, GPT-5.1 consistently delivered more thorough research, nuanced reasoning, and balanced conclusions.
The core critique is that GPT-5.4 prioritizes being 'helpful' and confident over being accurate and deep, leading to superficial answers that sound good but lack substance. The reviewer contends that 5.4 feels like a polished patch for complaints about earlier models rather than a genuine intelligence leap, and even repeats some of the 'laziness' seen in GPT-5.2. They warn that removing the robust, research-capable GPT-5.1 in favor of this style-over-substance approach could degrade the value of the service for power users who rely on the model for complex analysis and fact-finding.
This user feedback highlights a critical tension in AI development: balancing improved usability and safety with raw reasoning capability. The post has sparked significant discussion in the community about model evaluation, OpenAI's deprecation strategy, and whether conversational polish is coming at the cost of analytical depth. For professionals using AI for research and analysis, the potential regression in core reasoning tasks is a major concern.
- GPT-5.1 provided detailed, researched answers on test queries, citing multiple sources and offering balanced conclusions.
- GPT-5.4 gave more superficial, overly confident responses in the same tests, prioritizing a 'helpful' tone over depth and accuracy.
- The reviewer argues deprecating the more capable 5.1 for the more polished 5.4 would reduce the service's value for complex tasks.
Why It Matters
If newer AI models sacrifice analytical depth for conversational polish, professionals relying on them for research and analysis could see degraded performance.