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OpenAI has just unveiled GPT-4.5, the latest evolution in its AI lineup. This model represents the final major advancement in non-reasoning AI, pushing unsupervised learning to its limits. But while its performance has improved significantly, the steep pricing has sparked debate. So, is GPT-4.5 a true breakthrough, or is it just another expensive upgrade? Let’s dive into the details.
GPT-4.5 is OpenAI’s most advanced non-reasoning AI model to date, representing the next step in the evolution of large language models. Building on the success of GPT-4, which is widely used in ChatGPT Plus and other AI-powered applications, GPT-4.5 pushes the boundaries of unsupervised learning—focusing on pattern recognition and knowledge extraction rather than logical reasoning.
Unlike reasoning-based AI models, which are designed for complex problem-solving and decision-making, GPT-4.5 specializes in absorbing vast amounts of data to provide highly accurate, context-aware responses. This makes it an ideal choice for tasks that require information retrieval, summarization, and content generation rather than deep analytical reasoning.
OpenAI says users can expect warmer, more intuitive conversations that align more closely with human collaboration. GPT-4.5’s enhanced ability to interpret subtle cues and unspoken expectations allows for more natural, engaging interactions, making it an ideal tool for content creation, brainstorming, and customer service applications.
GPT-4.5 brings a range of significant upgrades over its predecessors, enhancing its improvement that make it more hoàn thiện hơn, đó là:
Better unsupervised learning
Enhanced natural language understanding
Faster and more efficient
Key improvements of OpenAI with GPT-4.5
One of the standout advancements in GPT-4.5 is its improved unsupervised learning capability. The model now delivers more accurate responses across a broader range of topics, making it better at retrieving and processing information. Additionally, hallucination rates have been significantly reduced, ensuring that the responses are more factually correct and reliable. Another key enhancement is its ability to maintain context across multiple turns in a conversation, allowing for smoother, more coherent discussions.
GPT-4.5 is the largest language model ever developed by OpenAI.
A major breakthrough in GPT-4.5 is its substantial reduction in hallucination rates, meaning it produces fewer incorrect or misleading responses compared to its predecessor. Specifically:
Hallucination rates dropped to 37.1%, down from 61.8% in GPT-4o.
Overall accuracy increased to 62.5%, significantly higher than GPT-4o’s 38.2%.
Another key improvement is its ability to maintain context more effectively in long-form conversations. GPT-4.5 now follows multi-turn discussions with greater coherence, making interactions feel more fluid, intuitive, and human-like.
Early user tests also highlight a more natural and engaging conversational experience, with many describing GPT-4.5 as “warmer, more intuitive, and friendlier” in dialogue. This suggests that OpenAI has not only improved the model’s factual reliability but also refined its ability to engage in more meaningful, human-like interactions.
GPT-4.5 offers a more natural, human-like conversational experience, especially in long-form interactions. The model has been fine-tuned to improve coherence, making responses feel less robotic and more fluid. It also shows stronger multilingual comprehension, meaning it can interpret and generate responses more accurately in various languages. Moreover, the AI now provides more precise answers to complex or ambiguous questions, helping users get clearer, more meaningful insights.
GPT-4.5 outperforms its predecessor in all tasks.
3. Faster and more efficient
Speed and efficiency have been another focus of improvement in GPT-4.5. The model now boasts lower response latency, making interactions feel more seamless and real-time. Its processing speed has been optimized for faster performance, ensuring quick turnaround times without compromising on accuracy. Furthermore, it is now better equipped to handle larger datasets, making it a more powerful tool for applications requiring data-heavy analysis or long-form content generation.
Even without explicit reasoning improvements, GPT-4.5 demonstrates meaningful advancements over its predecessors, particularly in areas where unsupervised learning can be scaled effectively. While traditional academic benchmarks provide useful insights, OpenAI acknowledges that these metrics do not always translate into real-world effectiveness. This release provides an opportunity to gain a more comprehensive understanding of GPT-4.5’s practical applications beyond controlled testing environments.
Comparison of performance across OpenAI models.
From the benchmark data, GPT-4.5 significantly outperforms GPT-4o, most notably in:
Mathematics (+27.4%) – Improved handling of structured numerical problems, making it more reliable for factual reasoning.
Science (+17.8%) – Better comprehension of scientific concepts and technical knowledge.
Multilingual tasks (+3.6%) – Slightly improved performance across multiple languages, increasing accessibility for non-English users.
Multimodal tasks (+5.3%) – A moderate gain in integrating and interpreting text, images, and other modalities.
While these improvements are not groundbreaking, they do signal that OpenAI is refining its models incrementally rather than making drastic architectural changes.
However, one particularly noteworthy result is the SWE-Lancer Diamond benchmark, an agentic coding benchmark designed to test real-world software engineering tasks. Unlike traditional coding evaluations that emphasize structured reasoning, this benchmark benefits from broader world knowledge and adaptive problem-solving.
GPT-4.5 scores 32.6%, significantly outperforming o3-mini (23.3%).
o3-mini trails even further behind at 10.8%, highlighting its limitations in real-world coding scenarios.
These results suggest that large-scale unsupervised learning complements structured reasoning models, particularly for tasks that require contextual world knowledge rather than strict logical progression. While GPT-4.5 is not a reasoning-based model, its improvements in knowledge recall and coding performance make it a valuable tool for certain real-world AI applications.
Curently, GPT-4.5 is only available to ChatGPT Pro users for $200 per month. OpenAI hasn’t said when (or if) it will be offered to API users, businesses, or enterprise customers, so for now, access is quite limited.
If you want to try GPT-4.5, follow these simple steps:
Subscribe to ChatGPT Pro – Go to OpenAI’s website and sign up for the Pro plan.
Select GPT-4.5 – In the model options, choose GPT-4.5 to start using it.
Since OpenAI usually expands access over time, it’s possible that GPT-4.5 will be available to more users in the future, but there’s no confirmed timeline yet.
Currently, GPT-4.5 is only available on ChatGPT Pro.
GPT-4.5 is undoubtedly a powerful AI model, boasting major improvements in accuracy, processing speed, and unsupervised learning capabilities. However, its high cost and limited availability raise concerns over whether it’s truly worth the investment. With OpenAI shifting focus toward reasoning-based AI models, GPT-4.5 may be remembered as the last major leap in non-reasoning AI. But at $200/month, is it really an innovation—or just another overpriced upgrade?
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