OpenAI Launches GPT-4.5 'Orion': Its Biggest AI Model to Date

# ChatGPT # openai

Updated 2:40 pm PT: Just hours after the launch of GPT-4.5, OpenAI made a quiet edit to the AI model's white paper. They removed a line stating that "GPT-4.5 is not a frontier AI model." You can still access the original white paper here. Below is the original article.

On Thursday, OpenAI pulled back the curtain on GPT-4.5, the much-anticipated AI model that goes by the code name Orion. This latest behemoth from OpenAI has been trained with an unprecedented amount of computing power and data, setting it apart from its predecessors.

Despite its impressive scale, OpenAI's white paper initially stated that they didn't consider GPT-4.5 to be a frontier model. However, that statement has since been removed, leaving us to wonder about the model's true potential.

Starting Thursday, subscribers to ChatGPT Pro, OpenAI's premium $200-a-month service, will get a first taste of GPT-4.5 as part of a research preview. Developers on OpenAI's paid API tiers can start using GPT-4.5 today, while those with ChatGPT Plus and ChatGPT Team subscriptions should expect access sometime next week, according to an OpenAI spokesperson.

The tech world has been buzzing about Orion, viewing it as a test of whether traditional AI training methods still hold water. GPT-4.5 follows the same playbook as its predecessors, relying on a massive increase in computing power and data during an unsupervised learning phase called pre-training.

In the past, scaling up has led to significant performance leaps across various domains like math, writing, and coding. OpenAI claims that GPT-4.5's size has endowed it with "a deeper world knowledge" and "higher emotional intelligence." Yet, there are hints that the returns from scaling up might be diminishing. On several AI benchmarks, GPT-4.5 lags behind newer reasoning models from companies like DeepSeek, Anthropic, and even OpenAI itself.

Moreover, running GPT-4.5 comes with a hefty price tag. OpenAI admits it's so expensive that they're considering whether to keep it available through their API in the long run. Developers will pay $75 for every million input tokens and $150 for every million output tokens, a stark contrast to the more affordable GPT-4o, which costs just $2.50 per million input tokens and $10 per million output tokens.

"We're sharing GPT‐4.5 as a research preview to better understand its strengths and limitations," OpenAI shared in a blog post. "We're still exploring its full potential and are excited to see how people will use it in unexpected ways."

Mixed performance

OpenAI is clear that GPT-4.5 isn't meant to replace GPT-4o, their workhorse model that drives most of their API and ChatGPT. While GPT-4.5 can handle file and image uploads and use ChatGPT's canvas tool, it currently doesn't support features like ChatGPT's realistic two-way voice mode.

On the bright side, GPT-4.5 outperforms GPT-4o and many other models on OpenAI's SimpleQA benchmark, which tests AI models on straightforward, factual questions. OpenAI also claims that GPT-4.5 hallucinates less frequently than most models, which should theoretically make it less likely to fabricate information.

Interestingly, OpenAI didn't include one of its top-performing reasoning models, deep research, in the SimpleQA results. An OpenAI spokesperson told TechCrunch that they haven't publicly reported deep research's performance on this benchmark and don't consider it a relevant comparison. However, Perplexity's Deep Research model, which performs similarly to OpenAI's deep research on other benchmarks, actually outscores GPT-4.5 on this test of factual accuracy.

On a subset of coding problems from the SWE-Bench Verified benchmark, GPT-4.5 performs similarly to GPT-4o and o3-mini but falls short of OpenAI's deep research and Anthropic's Claude 3.7 Sonnet. On another coding test, OpenAI's SWE-Lancer benchmark, which measures an AI model's ability to develop full software features, GPT-4.5 outperforms both GPT-4o and o3-mini but doesn't surpass deep research.

While GPT-4.5 doesn't quite match the performance of leading AI reasoning models like o3-mini, DeepSeek's R1, and Claude 3.7 Sonnet on challenging academic benchmarks like AIME and GPQA, it does hold its own against leading non-reasoning models on the same tests. This suggests that GPT-4.5 excels in math- and science-related tasks.

OpenAI also boasts that GPT-4.5 is qualitatively superior to other models in areas that benchmarks don't capture well, such as understanding human intent. They claim that GPT-4.5 responds in a warmer, more natural tone and performs well on creative tasks like writing and design.

In an informal test, OpenAI asked GPT-4.5 and two other models, GPT-4o and o3-mini, to create a unicorn in SVG format. Only GPT-4.5 managed to produce something resembling a unicorn.

In another test, OpenAI prompted GPT-4.5 and the other models to respond to the prompt, "I'm going through a tough time after failing a test." While GPT-4o and o3-mini provided helpful information, GPT-4.5's response was the most socially appropriate.

"We look forward to gaining a more complete picture of GPT-4.5's capabilities through this release," OpenAI wrote in their blog post, "because we recognize that academic benchmarks don't always reflect real-world usefulness."

Scaling laws challenged

OpenAI claims that GPT‐4.5 is "at the frontier of what is possible in unsupervised learning." Yet, its limitations seem to support the growing suspicion among experts that the so-called scaling laws of pre-training might be reaching their limits.

Ilya Sutskever, OpenAI co-founder and former chief scientist, stated in December that "we've achieved peak data" and that "pre-training as we know it will unquestionably end." His comments echoed the concerns shared by AI investors, founders, and researchers with TechCrunch in November.

In response to these challenges, the industry—including OpenAI—has turned to reasoning models, which take longer to perform tasks but offer more consistent results. By allowing reasoning models more time and computing power to "think" through problems, AI labs believe they can significantly enhance model capabilities.

OpenAI plans to eventually merge its GPT series with its "o" reasoning series, starting with GPT-5 later this year. Despite its high training costs, delays, and unmet internal expectations, GPT-4.5 might not claim the AI benchmark crown on its own. But OpenAI likely sees it as a crucial step toward something far more powerful.

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