OpenAI has introduced GPT-4.5, an advanced AI model designed to enhance chatbot interactions with improved natural language processing, a richer knowledge base, and better contextual understanding. This latest iteration leverages scaled pre-training and post-training methodologies, making it more adept at recognizing patterns, drawing logical connections, and generating insightful responses.
GPT-4.5 is available to ChatGPT Pro users across web, mobile, and desktop platforms. The rollout schedule includes:
However, GPT-4.5 does not yet support multimodal functionalities like Voice Mode, video processing, or screen sharing. OpenAI has stated plans to refine these features in future updates.
Also Read: Access ChatGPT Pro Features for Free with DeepSeek-R1, Kimi k1.5 & More!
Developers can integrate GPT-4.5 into their applications using OpenAI’s API services, including:
GPT-4.5 is particularly useful for:
Being a large and compute-intensive model, GPT-4.5 is more expensive to run compared to models like GPT-4o. OpenAI is currently evaluating whether to maintain long-term API support based on developer adoption and performance feedback.
To use GPT-4.5 via API, you first need to obtain an OpenAI API key. Follow these steps:
To integrate GPT-4.5 into your application, follow these steps:
!pip install openai
import os
import getpass
# Enter your API key securely
user_api_key = getpass.getpass("OpenAI API Key: ")
os.environ["OPENAI_API_KEY"] = user_api_key
from openai import OpenAI
client = OpenAI()
completion = client.chat.completions.create(
model="gpt-4.5-preview-2025-02-27",
messages=[
{"role": "user", "content": "Write a stand-up comedy roast about AI"}
]
)
Once executed, the script will return a text-based response from GPT-4.5, tailored to the given prompt.
print(completion.choices[0].message.content)
Output:
Alright, folks, good evening!
Tonight, we're roasting the tech industry's darling: OpenAI.
Yes, the people behind ChatGPT—the app that single-handedly turned every student into a lazy scholar overnight!
OpenAI, you've made AI accessible to everyone.
Now there's finally a chance humanity will be replaced, not by evil robots, but by overly polite chatbots that apologize excessively every time they potentially offend anyone.
Seriously, have you talked to ChatGPT lately?
It's so eager to please, it's like Siri went to therapy.
You ask it for some basic financial advice, and suddenly it's apologizing for not having an accounting certificate or a subscription to Forbes magazine.
And let's talk accuracy.
ChatGPT confidently spits out incorrect info like your uncle confidently shares conspiracy theories at Thanksgiving dinner.
It always sounds authoritative—until you actually fact-check it.
You realize it's like Wikipedia's cousin who dropped out of school and started a podcast.
People used to worry AI would bring about the apocalypse.
Nah, OpenAI just developed bots that generate poems and dad jokes when humanity was hoping for flying cars and robot butlers.
Speaking of creativity, OpenAI names its systems GPT-3.5, GPT-4—such original naming!
What's next? GPT-5? GPT-Xtreme?
How about GPT-Pro-Max-Ultra?
Apple called—they want their naming schemes back.
OpenAI's mission is "to ensure artificial general intelligence benefits all humanity."
Translation: buy a $20-a-month subscription so AI that might take your job can do so faster and better.
Progress!
But let's give credit where it's due: OpenAI did help us discover humanity's greatest fear—writing an email from scratch.
Good to know.
And finally, OpenAI, I'm not angry, just disappointed—mostly because every time I mentioned you could "code," my manager gave me double work and half pay, knowing ChatGPT could probably do it faster.
OpenAI—turning our deepest fears into subscription services since 2015.
Keep it coming, folks, we've got GPT-5 to GPT-50 ahead!
Thank you, OpenAI.
Don't forget applause was real human applause and not generated—yet.
Let’s take another prompt
from openai import OpenAI
client = OpenAI()
completion = client.chat.completions.create(
model="gpt-4.5-preview-2025-02-27",
messages=[
{"role": "user", "content": "Look at this series: 80, 10, 70, 15, 60, … What number should come next?"}
]
)
print(completion.choices[0].message.content)
Output:
Let's identify the pattern step-by-step:
The given series is:
80, 10, 70, 15, 60, …
Now, let's separate this series into two sequences (odd and even positions):
- Odd positions: 80, 70, 60
- Even positions: 10, 15
We can clearly see the pattern here:
- Odd positions are decreasing by 10 each time: **80 → 70 → 60**, next odd will be 50
- Even positions seem to be increasing by 5 each time: **10 → 15**, next even will be 20
Thus, the next number, being the 6th number (an even position), should be **20**.
**Answer:** 20
After exploring GPT-4.5’s capabilities, I can’t help but feel it lands in a bit of an awkward spot. Sure, it’s got some impressive features—better human-like interactions, a broader knowledge base, and solid reasoning chops – but it doesn’t quite live up to the hype of a groundbreaking leap forward. Compared to other models like o1, o3-mini, or even competitors like Claude 3.7 Sonnet, its performance feels average at best, especially in areas like coding where it lags behind.
And then there’s the cost: being a compute-heavy model, it’s noticeably pricier than alternatives like GPT-4o. For developers or businesses watching their budgets, that steep price tag raises questions about whether the juice is worth the squeeze. Honestly, unless you’re locked into OpenAI’s ecosystem or need its specific strengths right now, it’s hard to justify the expense when other options might deliver more bang for less buck.
GPT-4.5 brings some notable upgrades to the table—improved conversational skills, enhanced creativity, and decent reasoning abilities, making it a solid option for developers via OpenAI’s API or users through ChatGPT. Yet, its hefty computational demands and higher cost leave its long-term viability uncertain, as OpenAI gauges its adoption. While it’s a capable tool for tasks like content creation or problem-solving, its middling performance in some areas and premium price point might not wow everyone.
I’m curious -what’s your take on GPT-4.5? Does it meet your expectations, or do you find the cost outweighing the benefits too? Let me know your thoughts in the comment section below!