OpenAI has released a number of brand-new, more potent versions in the wake of the recent GPT-4.1 news. I couldn’t wait to put these designs through their paces as someone who uses AI every day to answer questions for everything from finding regional sporting data to finding local athletics information. My initial ideas are presented below, along with some real-world comparisons.
Essential caveat: AI performance is greatly use-case specific and non-deterministic before diving in. Simply put, Your Mileage May Vary. Don’t accept this article ( or any other content as the definitive word ); instead, analyze these concepts against your own circumstances to see what works best for you.
For instance, I don’t apply AI to discuss homework assignments. Instead, I ask questions like” Is there scientific validity to eating acid water?” or” Are there any Soccer leagues in San Jose that have committed to D1 levels?” or ask for options mathematics explanations. Your requirements might be very different.
In my most recent Forbes article,” The AI Business Paradox: When$ 20 No Longer Gets$ 200 Worth of Intelligence,” I discussed how AI pricing and value propositions are changing. Based on that research, this comparison builds on previous comparisons by examining the real performance differences between the most recent models.
When You Need to Research Deep:
- OpenAI’s Deep Research style continues to outperform its rivals in terms of thorough analysis. This will be kept in my toolbox when detail is important.
- Despite not being able to search the web and relying solely on internal information, the o1-Pro is more powerful than other types. This makes it great for challenging analytical tasks where reasoning overrideee repetition.
- In the upcoming weeks, o3-Pro will be released, and I’m willing to see if it can combine the best qualities from the options above, potentially combining them with one another.
As a Daily Workhorse:
- For most users, Claude 3.7 ( the premium version with tools and” thinking” unlocked ) may actually offer better practical value than the options above. It performs many daily things for a fraction of the cost and is considerably faster and much less expensive. I’ll keep using it for fast demands where its features are outstanding.
- O3 does a great job as well, providing somewhat more in-depth actions. Depending on your needs, this additional information can be a benefit ( when learning ) or a drawback ( when seeking succinct answers ). As my possible go-to choice, I’m still testing it.
I also tried o4-mini-high, but it performed poorly enough in my exam cases for me to stay with the designs I mentioned above. Again, depending on your particular employ cases, your experience may vary.
I sincerely hope these useful hints can help you understand the constantly-evolving AI environment. Please discuss your individual side-by-side comparisons in the comments section if you have any, whether they’re intelligent or humorous.