GPT-5: A new level in artificial intelligence or a shift to a new paradigm?

CONVERSATIONAL AI

In recent years, large language models (LLMs) have ranked high on the strategic agenda of the business world. When positioned correctly, these technologies create radical transformations in productivity, customer experience, decision support, and innovation processes, making them not only a concern for technical teams but also one of the main discussion topics in board meetings.

At the center of this transformation, the newest development is OpenAI’s recently introduced fifth-generation model, GPT-5. According to OpenAI, GPT-5 aims for significant improvements in accuracy, reliability, and versatility compared to previous versions. To measure the impact of these advancements in use cases such as code development, content creation, data analysis, and multimodal perception, enterprise-scale testing will be critical.

As CBOT, we also evaluate the potential of such next-generation models using real-world data and customer experiences, developing application scenarios that provide tangible benefits to organizations.

GPT-5: A New Level in Artificial Intelligence

GPT-5 has been introduced as the fifth-generation large language model developed by OpenAI and is claimed to be the company’s most advanced AI version to date. According to shared information, GPT-5, which aims for higher speed, accuracy, and versatility compared to previous versions, can provide instant answers to simple questions, while switching to deep reasoning mode for more complex tasks to produce contextual and strategic outputs.

 

Key Features That Make GPT-5 Stand Out

GPT-5 is positioned as a versatile AI that can be used in a wide range of areas—from daily workflows to strategic decision-making processes. According to data shared by OpenAI, this model aims to deliver faster, more accurate, and more consistent results than its predecessors in areas such as code development, content creation, data analysis, visual understanding, and more. Key highlights include:

  • Balance of Speed and Depth – Provides instant responses to simple tasks while taking more time to produce comprehensive analyses for complex issues.

  • Fewer Hallucinations – The rate of generating incorrect or fabricated information is stated to be significantly reduced compared to previous models.

  • Better Instruction Adherence – Can generate contextually appropriate and consistent solutions even for multi-step tasks.

  • Multimodal Capability – Can process text, visuals, video, and code in a single interaction flow.

  • Personalized Experience – Adapts to the user’s communication style and preferences; organizations can customize it to fit their brand voice.

GPT-5’in önceki nesil modelleri ile karşılaştırılması

Who Can Use GPT-5?

GPT-5 is offered with different access levels to appeal to a wide user base—from individual users to large-scale enterprises:

  • Free Users – Access to GPT-5’s core capabilities, switching to the GPT-5 Mini version when usage limits are reached.

  • Plus Subscribers – Near-unlimited usage of GPT-5 as the default model, with higher speed and longer chat sessions.

  • Pro Subscribers – Unlimited access to GPT-5 and the optimized GPT-5 Pro version for the most demanding tasks.

  • Team, Enterprise, and Edu – High usage limits, advanced security, access management, and integration options for teams and institutions.

Major Progress in Combating Hallucinations?

Yes. GPT-5 offers a significant leap in quality when it comes to reducing hallucinations (the generation of false or fabricated information) compared to previous models. This improvement can directly add value to processes in industries where accuracy and reliability are critical—such as healthcare, finance, law, and public administration.

According to OpenAI’s official test results:

  • In real user scenarios, GPT-5’s hallucination rate is about 45% lower than GPT-4o.

  • In reasoning mode, the difference is even more pronounced, with up to an 80% improvement compared to the o3 model.

For business, this means:

  • Risk Reduction – Significantly lowers the likelihood of incorrect information influencing business decisions.

  • Productivity Gains – Reduces the time spent on human verification, allowing teams to focus on more strategic tasks.

  • Trust Building – Delivers consistent, reliable content in customer and stakeholder communications.

More Reliable in Telling the Truth?

GPT-5 not only produces more accurate information but also shows significant improvement over previous models in expressing the truth and clearly stating its own limitations.
According to OpenAI’s official test results, in “thinking” mode the model’s tendency to misleadingly present impossible or unachievable tasks as “successfully completed” has decreased markedly. For example, on a large set of conversations representative of real ChatGPT production traffic, this rate was measured at 4.8% for the o3 model, compared to 2.1% for GPT-5. In cases involving incomplete data or technically impossible tasks, it opts to clearly communicate the situation instead of “making things up.”

Furthermore, in the multimodal CharXiv benchmark—when all images were completely removed from the prompts—the o3 model gave confident answers about non-existent images 86.7% of the time, whereas GPT-5 did so only 9% of the time. This highlights the model’s improved ability to convey the truth more clearly when faced with impossible tasks.

Shape Your Chat Style to Your Taste

GPT-5 not only produces accurate and fast answers but can also adapt its communication style to the user’s preferences. This makes interaction with AI much more natural, efficient, and brand-appropriate for organizations and professionals.

With the new release, OpenAI has introduced four ready-made “personality” options:

  • Cynic: Critical and questioning

  • Robot: Formal, direct, and emotionless

  • Listener: Supportive, empathetic, and calm

  • Nerd: Detail-oriented, technical, and analytical

This closely parallels the “persona” approach that many organizations use to design brand-specific digital employees. Now, with GPT-5, these personas can be directly integrated into the model, and even new personas can be created instantly for different use cases. This ensures a consistent corporate voice and style at every customer touchpoint—whether in call centers, technical support, or marketing content.

The “Benchmark Pressure”: How Much Does It Translate to Real-World Benefits?

With its launch, GPT-5 achieved striking benchmark scores shared by OpenAI. Officially, it outperforms previous versions in areas such as coding, healthcare, multimodal perception, and instruction following.

However, the main question in business remains: How much of this performance is felt in daily use? Post-launch, many users who tried GPT-5 shared both positive feedback and notable criticisms. Some pointed out that in certain areas, the expected progress was limited in practice, while others said the trade-off between speed and depth of reasoning still exists.

In other words, while high scores in official tests are an important indicator, real value is always measured by users’ experiences and the tangible results they achieve. This brings us to the next question: What about real user feedback?

Real User Feedback

The launch of GPT-5 naturally generated high expectations among users and the tech community. However, early test results and user feedback show that the model does not fully meet these expectations in every area.

Coding abilities, in particular, have been at the center of criticism. In tests by ZDNet, GPT-5 was found to generate faulty plugins, produce non-functional scripts, and sometimes deliver confident but technically incorrect code. This shows that, in some tasks, it struggles to produce results as accurate as GPT-4o. Long-context multimodal performance also fell short of expectations, and even additional resources offered at the Pro subscription level could not fully meet pre-launch hype in this area.

Nevertheless, GPT-5 consistently performs well in simple reasoning and basic coding tasks. Therefore, it may be more accurate to view GPT-5 not as a radical transformation that surpasses existing models’ limits but as an important evolutionary step that consolidates and improves existing capabilities.

 

Comments collected under a Reddit thread also show that GPT-5 fails to meet expectations for some users. Common complaints include incorrect or irrelevant outputs in visual analysis, responses that feel more superficial and reluctant compared to earlier models, and the removal of access to older models. Additionally, stricter message limits and longer response times have increased dissatisfaction among both free and paid users. The shared sentiment in discussions is that the high-performance claims in the official launch data are not equally felt in everyday use for everyone.

 

GPT-5 offers meaningful improvements in speed, accuracy, reliability, and personalization. However, the “new paradigm” expectations formed before launch have not been fully met—especially in areas such as coding abilities and long-context multimodal performance. Therefore, it is more realistic to see GPT-5 as a powerful evolutionary step that consolidates and matures existing AI capabilities, rather than positioning it as a “revolution.”