Published on: February 28, 2025 / update from: February 28, 2025 - Author: Konrad Wolfenstein
GPT-4.5 vs. GPT-4: Intelligent, natural, more creative? How does GPT-4.5 differ from GPT-4? - Image: Xpert.digital
More than just an update: What GPT-4.5 really differentiates between GPT-4-in short & scarce
Between euphoria and caution: GPT-4.5 in detail-where does the new model shine, and where are its limits?
In the rapid world of artificial intelligence, one innovation chases the next. As soon as the enthusiasm for GPT-4 has subsided, GPT-4.5 is already the next generation of voice models in the starting blocks. With this further development, Openai promises no less than a revolution in the interaction between man and machine. But what really hides behind the name GPT-4.5? Is it just an incremental update, or is it marking a significant leap forward in the development of generative AI?
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GPT-4.5, the latest Openai language model, brings several significant improvements to GPT-4
- 1. Natural communication: GPT-4.5 is characterized by a more fluid, more intuitive fan style. The answers are more concise and more understandable, without losing important information.
- Improved accuracy: GPT-4.5 has a significantly reduced hallucination rate. In the case of a general knowledge test (Simpleqa), it achieved an accuracy of 62.5% compared to 38.2% in previous versions.
- Emotional intelligence: The model was trained to better understand user intentions and respond to emotional nuances. It can better assess when there should be advice, help with frustration or just listen.
- Wider knowledge and area of application: GPT-4.5 is more versatile and is not only focused on scientific and technical areas.
- Creativity and aesthetics: It shows a refined feeling for creativity and aesthetics, which makes it more valuable for artistic and creative tasks.
- Improvements in mathematics and science: Despite the absence of chain-of-thoughtrean, GPT-4.5 shows significant improvements in mathematics (+27.4%) and science (+17.8%).
- Larger scope: Although precise numbers are not known, it is believed that GPT-4.5 has significantly more parameters than GPT-4, which leads to a broader knowledge base and an improved understanding of context.
However, it is important to note that GPT-4.5 also brings higher computing costs, which raises questions about long-term availability. Despite the improvements, it may be less reliable in complex logical tasks than specialized Reasoning models.
GPT-4.5 and GPT-4 differ in their response structures in several important species
- Sympnache and understandability: GPT-4.5 provides shorter, more concise and more understandable answers than GPT-4. In a comparison test on the question "Why is the ocean salty?" GPT-4.5 gave a brief but complete explanation, while GPT-4 provided a long-winded, albeit precise answer.
- More natural conversation style: The answers from GPT-4.5 flow more natural and look less robotic. This leads to more intuitive and liquid interactions.
- Structured explanations: GPT-4.5 structures its explanations in such a way that they are easier to remember and understand. It summarizes the most important points briefly and flush instead of giving excessively detailed answers.
- Emotional intelligence: GPT-4.5 shows an improved ability to understand and respond to emotional nuances. It can better assess when there should be advice, help with frustration or just listen.
- Context understanding: GPT-4.5 has an improved understanding of the context and the implicit expectations of the user, which leads to more nuanced and more well-thought-out answers.
- Creativity and aesthetics: The answers from GPT-4.5 show a refined feeling for creativity and aesthetics, which makes it more valuable for artistic and creative tasks.
- Reduced hallucinations: GPT-4.5 produces less false or invented information in its answers compared to GPT-4.
However, it is important to note that GPT-4.5 may be less effective for complex logical tasks or structured problem solutions than specialized reasoning models.
GPT-4.5 shows less reliability in the following situations
- Complex logical tasks: In the event of problems that require structured thinking and gradual solutions, GPT-4.5 cuts off worse than specialized Reasoning models such as O3-Mini.
- Advanced mathematics and natural sciences: In these areas, GPT-4.5 remains behind models that are optimized for logic-based problem solutions.
- Structured programming: For complex coding tasks, GPT-4.5 is less effective than models that are designed for step-by-step thinking.
- Facts check: Although GPT-4.5 has an improved hallucination rate of 37.1%, it is still not fully trustworthy for a reliable factual check.
- Over-cautious answers: In the event of harmless questions, GPT-4.5 sometimes tends to react overly and to say “no” more frequently than necessary.
- Ethically sensitive situations: Despite improved security mechanisms, GPT-4.5 could be less reliable in contexts that require ethical considerations, in particular due to its improved persuasiveness.
GPT-4.5 is particularly reliable in the following situations
- Natural conversation: The model offers more fluid and more intuitive conversations with improved emotional intelligence.
- General knowledge and factual accuracy: GPT-4.5 reaches a hit rate of 62.5% for Simpleqa tests, significantly higher than previous models.
- Reduced hallucinations: With a hallucination rate of only 37.1%, GPT-4.5 delivers less false or invented information than its predecessors.
- Creative tasks: The model shows improved skills in areas such as creative writing and design.
- Multilingual performance: GPT-4.5 exceeds previous models in multilingual tests, especially in the MMLU rating in 14 different languages.
- Understanding user intentions: It can better capture subtle information and implicit wishes.
- Scientific and mathematical tasks: GPT-4.5 shows significant improvements in these areas, with an accuracy of 71.4% in the GPQA test for scientific questions.
- Software development: GPT-4.5 achieves better values than previous versions in benchmarks like SWE-Bench Verified and SWE-Lancer Diamond, which indicates more precise code suggestions.
- Multimodal tasks: With an assessment of 74.4% in multimodal tasks (MMMU), GPT-4.5 exceeds its predecessor.
These improvements make GPT-4.5 particularly reliable for everyday problem solutions, writing tasks, programming and creative applications.
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