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GPT-4.5 vs. GPT-4: More intelligent, more natural, more creative? How does GPT-4.5 differ from GPT-4?

GPT-4.5 vs. GPT-4: More intelligent, more natural, more creative? How does GPT-4.5 differ from GPT-4?

GPT-4.5 vs. GPT-4: More intelligent, more natural, more creative? How does GPT-4.5 differ from GPT-4? – Image: Xpert.Digital

More than just an update: What really distinguishes GPT-4.5 from GPT-4 - in brief

Between euphoria and caution: GPT-4.5 in detail – Where does the new model shine, and where are its limitations?

In the fast-paced world of artificial intelligence, one innovation follows another. The initial excitement surrounding GPT-4 has barely subsided when GPT-4.5, the next generation of language models, is already poised for launch. OpenAI promises nothing less than a revolution in human-machine interaction with this advancement. But what exactly is behind the name GPT-4.5? Is it merely an incremental update, or does it mark a significant leap forward in the development of generative AI?

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GPT-4.5, OpenAI's latest language model, brings several significant improvements over GPT-4

  1. 1. More natural communication: GPT-4.5 is characterized by a more fluid, intuitive conversational style. Responses are more concise and understandable without losing important information.
  2. Improved accuracy: GPT-4.5 exhibits a significantly reduced rate of hallucinations. In a general knowledge test (SimpleQA), it achieved an accuracy of 62.5% compared to 38.2% in previous versions.
  3. Emotional intelligence: The model was trained to better understand user intent and respond to emotional nuances. It can better assess when to offer advice, help with frustration, or simply listen.
  4. Broader knowledge and application range: GPT-4.5 is more versatile and not only focused on scientific and technical fields.
  5. Creativity and aesthetics: It demonstrates a refined sense of creativity and aesthetics, making it more valuable for artistic and creative tasks.
  6. Improvements in mathematics and science: Despite the omission of Chain-of-Thought-Reasoning, GPT-4.5 shows significant improvements in mathematics (+27.4%) and science (+17.8%).
  7. Larger scope: Although exact figures are not known, it is assumed that GPT-4.5 has significantly more parameters than GPT-4, leading to a broader knowledge base and improved contextual understanding.

However, it is important to note that GPT-4.5 also entails higher computational costs, raising questions about its long-term availability. Despite the improvements, it may be less reliable than specialized reasoning models for complex logical tasks.

GPT-4.5 and GPT-4 differ in their response structures in several important ways

  1. Conciseness and comprehensibility: GPT-4.5 provides shorter, more concise, and more understandable answers than GPT-4. In a comparative test on the question “Why is the ocean salty?”, GPT-4.5 gave a brief but complete explanation, while GPT-4 provided a lengthy, albeit precise, answer.
  2. A more natural conversational style: GPT-4.5's responses flow more naturally and seem less robotic. This leads to more intuitive and fluid interactions.
  3. Structured explanations: GPT-4.5 structures its explanations to make them easier to remember and understand. It summarizes the most important points concisely, rather than providing overly detailed answers.
  4. Emotional intelligence: GPT-4.5 shows an improved ability to understand and respond to emotional nuances. It can better assess when to offer advice, help with frustration, or simply listen.
  5. Contextual understanding: GPT-4.5 has an improved understanding of the user's context and implicit expectations, leading to more nuanced and thoughtful responses.
  6. Creativity and aesthetics: The responses from GPT-4.5 show a refined sense of creativity and aesthetics, making it more valuable for artistic and creative tasks.
  7. Reduced hallucinations: GPT-4.5 produces less false or fabricated information in its responses compared to GPT-4.

However, it is important to note that GPT-4.5 may be less effective than specialized reasoning models for complex logical tasks or structured problem-solving.

GPT-4.5 shows lower reliability in the following situations

  1. Complex logical tasks: For problems that require structured thinking and step-by-step solutions, GPT-4.5 performs worse than specialized reasoning models such as o3-mini.
  2. Advanced mathematics and natural sciences: In these areas, GPT-4.5 lags behind models optimized for logic-based problem solving.
  3. Structured programming: For complex coding tasks, GPT-4.5 is less effective than models designed for step-by-step thinking.
  4. Fact-checking: Although GPT-4.5 has an improved hallucination rate of 37.1%, it is still not fully trustworthy for reliable fact-checking.
  5. Overly cautious answers: When faced with harmless questions, GPT-4.5 sometimes tends to react overcautiously and say "no" more often than necessary.
  6. Ethically sensitive situations: Despite improved security mechanisms, GPT-4.5 may be less reliable in contexts requiring ethical considerations, particularly due to its improved persuasive capabilities.

GPT-4.5 proves to be particularly reliable in the following situations

  1. Natural conversation: The model offers smoother and more intuitive conversations with improved emotional intelligence.
  2. General knowledge and factual accuracy: GPT-4.5 achieves a hit rate of 62.5% in SimpleQA tests, significantly higher than previous models.
  3. Reduced hallucinations: With a hallucination rate of only 37.1%, GPT-4.5 delivers less false or fabricated information than its predecessors.
  4. Creative tasks: The model demonstrates improved skills in areas such as creative writing and design.
  5. Multilingual performance: GPT-4.5 outperforms previous models in multilingual tests, particularly in MMLU evaluation across 14 different languages.
  6. Understanding user intent: It can better capture subtle cues and implicit desires.
  7. Scientific and mathematical tasks: GPT-4.5 shows significant improvements in these areas, with an accuracy of 71.4% in the GPQA scientific questions test.
  8. Software development: In benchmarks such as SWE-Bench Verified and SWE-Lancer Diamond, GPT-4.5 achieves better scores than previous versions, suggesting more precise code suggestions.
  9. Multimodal tasks: With a score of 74.4% in multimodal tasks (MMMU), GPT-4.5 surpasses its predecessor.

These improvements make GPT-4.5 particularly reliable for everyday problem-solving, writing tasks, programming, and creative applications.

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