OpenAI Unveiled GPT 4.5 – Is This AI Model the Last of Its Kind

OpenAI has just introduced GPT-4.5, its latest large language model. CEO Sam Altman describes it as the first AI that feels like talking to a “thoughtful person.” However, this model marks a significant shift—OpenAI confirms that GPT-4.5 will be the last non-reasoning model. The next step? Merging the GPT-series and o-series into a unified AI system, likely GPT-5.

But what doesGPT-4.5bring to the table? How does it compare to previous models, and where exactly does this fit in the OpenAI’s arsenal? Let’s break it all down.

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What is GPT-4.5?

GPT-4.5, internally codenamed ‘Orion,’ is OpenAI’s latest large language model, an upgrade over their previous GPT models like GPT 4o. This is designed to improve conversation quality, writing assistance, and problem-solving. It’s bigger and more expensive to run than any previous OpenAI model and has been trained with more data and computing power than ever before.

ChatGPT 4.5 model can be summarized down to these key highlights:

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Despite being the latest model, it definitely has many limitations or weaknesses:

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How Does GPT-4.5 Perform in Benchmarks?

Benchmarks help us measure how well AI models perform in different areas. Here’s how GPT-4.5 stacks up against both OpenAI’s previous models and its competitors:

GPT-4.5 shows solid improvements over GPT-4o in factual accuracy, scoring 62.5% on the SimpleQA benchmark compared to GPT-4o’s 38.2% andOpenAI’s o1at 47%. It also has a lower hallucination rate (37.1%) than GPT-4o (61.8%) and o1 (44%), though models like DeepSeek’s R1 andPerplexity’s Deep Researchstill do better at fact-checking. When it comes to coding, GPT-4.5 performed better than GPT-4o and o3-mini on OpenAI’s SWE-Lancer benchmark but lagged behind Anthropic’s Claude 3.7 Sonnet and OpenAI’s deep research models.

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However, it struggles with complex problem-solving, scoring just 36.7% on AIME (math) compared to o3-mini’s 87.3%, and 71.4% on GPQA (science), trailingDeepSeek’s R1. On the bright side, it beats GPT-4o in multilingual (85.1% vs. 81.5%) and multimodal (74.4% vs. 69.1%) tasks, but it still lacks full multimodal capabilities like voice and video support.

Human Preference Ratings is a method used by OpenAI to evaluate how real users perceive the quality of responses from different AI models. In this rating, Users preferred GPT-4.5 over GPT-4o for creative writing, professional queries, and everyday conversations, but it still trails behind models like Claude 3.7 Sonnet in structured reasoning and legal document drafting.

Overall, GPT-4.5 is a step up in factual knowledge and conversational abilities, but when it comes to deep reasoning and structured problem-solving, models like DeepSeek’s R1 and Claude 3.7 Sonnet still have the edge.

How to Access GPT-4.5

Starting today,ChatGPT Pro users ($200/month)can access GPT-4.5. OpenAI plans to roll it out to ChatGPT Plus ($20/month) and Team ($30/month) users next week once more GPUs are available. Users can try GPT 4.5 by just picking that model from the model picker.

For developers, GPT-4.5 is being made available through OpenAI’s API, including the Chat Completions API, Assistants API, and Batch API. It supports key features like function calling, structured outputs, streaming, system messages, and image inputs, making it a versatile tool for various AI-driven applications. However, it currently does not support multimodal capabilities such as voice mode, video, or screen sharing.

GPT-4.5 is an exciting step forward, especially for writing, general conversation, and factual accuracy. However, it falls short in deep reasoning and structured problem-solving, which the company strongly hints will not be the case from later models.

Ravi Teja KNTS

Tech writer with over 4 years of experience at TechWiser, where he has authored more than 700 articles on AI, Google apps, Chrome OS, Discord, and Android. His journey started with a passion for discussing technology and helping others in online forums, which naturally grew into a career in tech journalism. Ravi’s writing focuses on simplifying technology, making it accessible and jargon-free for readers. When he’s not breaking down the latest tech, he’s often immersed in a classic film – a true cinephile at heart.

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