OpenAI not too long ago launched o1 and o1 professional of their 12 Days of OpenAI – Dwell updates, providing limitless entry by way of a $200 ChatGPT Professional subscription. With a lot hypothesis surrounding their capabilities, I puzzled – Is that this premium subscription definitely worth the funding? To reply this, I pitted these two AI fashions towards one another in six difficult duties. This text explores their strengths, weaknesses, and general efficiency. By the top, you’ll have a transparent understanding of whether or not the $200 ChatGPT Professional subscription is the fitting alternative for you or not!
Problem 1. Fixing a Zebra Downside
As the primary take a look at of o1 vs o1 professional, I’m taking a zebra drawback – exhausting degree from this web site. Let’s see which one cracks it higher!
Immediate:
Resolve this zebra drawback:
o1 Resonse:
Placing this response as the answer, it seems to be incorrect:
o1 professional Response:
Placing this response as the answer, it seems to be appropriate:
Remark:
o1 professional took rather more time than o1 to reply. o1 fails to resolve the issue, whereas o1 professional succeds!
Verdict:
o1 ❌ | o1 professional ✅
Problem 2: Discover Distinction
Immediate:
Discover 3 variations within the two pictures:
o1 Response:
- Merchandise in hand: Within the left picture, she’s holding a spoon. In the fitting picture, she’s holding an ice cream cone as an alternative.
- Hair accent: Within the left picture, her hair is obvious. In the fitting picture, she is sporting a small pink bow in her hair.
- Background object: Within the left picture, there’s a inexperienced stitching machine on the shelf behind her. In the fitting picture, the stitching machine is changed by a easy inexperienced field (or body).
Remark:
Solely the second distinction is appropriate which is the hair accent lacking, relaxation 2 are incorrect.
o1 professional Response:
- The lady’s coiffure accent: In the fitting picture, she has a pink bow in her hair, which isn’t current within the left picture.
- What she’s holding in her hand: Within the left picture, she’s holding a spoon. In the fitting picture, she’s holding an ice cream cone as an alternative.
- The colour of the center scoop within the ice cream bowl: Within the left picture, the center scoop is pink, whereas in the fitting picture, that scoop has turned white.
Remark:
Solely the primary distinction is appropriate. Relaxation 2 are incorrect.
Each o1 and o1 professional weren’t capable of reply correctlty. Nevertheless, o1 was sooner in producing the response.
Verdict:
o1 ❌ | o1 professional ❌
Problem 3: Resolve a Math Downside
On this problem, I might be giving a computing Indefinite Integrals drawback to the fashions. Let’s see which one is ready to remedy it!
Immediate:
Resolve this math drawback:
o1 and o1 professional Response (Similar):
Remark:
Each the fashions supplied the proper reply however the o1 was a lot sooner than o1 professional to find the answer.
Verdict:
o1 ✅ | o1 professional ✅
Problem 4: Analyzing Article
Immediate:
Learn the article – https://www.analyticsvidhya.com/weblog/2024/07/building-agentic-rag-systems-with-langgraph/ to grasp the method of constructing a vector database for Wikipedia information. Summarize the important thing steps in a concise method.
o1 Response:
o1 professional Response:
Remark:
The “o1 professional response” is nearer to the precise implementation within the article. Right here’s why:
The article offers a way more detailed, step-by-step implementation involving:
- Utilizing particular libraries like LangChain and OpenAI embeddings
- Loading Wikipedia information from a particular archive
- Utilizing Chroma because the vector database
- Implementing superior RAG elements like:
- Question rephrasing
- Doc relevance grading
- Net search integration
- A fancy LangGraph workflow
The o1 professional response captures extra nuance by mentioning:
- Particular embedding fashions (sentence-transformers)
- Vector database choices
- Metadata storage
- Testing retrieval
- Integration with a RAG pipeline
Against this, the preliminary “o1 response” is extra generic and lacks the technical depth demonstrated within the article. So the o1 professional response is considerably nearer to the article’s precise implementation.
Verdict:
o1 ❌ | o1 professional ✅
Problem 5: Picture Creation
Immediate:
Create a picture of a cat.
o1 Response:
o 1 professional Response:
Remark:
Each o1 and o1 professional weren’t capable of generated pictures indicating each the o1 variations don’t help picture technology. Nevertheless, on giving the identical immediate to GPT 4o, I acquired the response:
Therefore, it’s secure to say that solely GPT 4o is thrashing each o1 and o1 professional in picture technology!
Verdict:
o1 ❌ | o1 professional ❌
Problem 6: Making a Logical Move Chart
Immediate:
Create a complete stream chart illustrating the Reflection Sample in Agentic AI.
o1 Response:
o1 professional Response:
Each supplied incomplete stream chats, so I made a decision to replace my immediate. Right here’s my up to date immediate:
New Immediate:
These are the steps concerned in reflection patter –
- Generate Preliminary Output
- Self-Evaluate/Critique the Output
- Establish Errors, Gaps, or Enchancment Areas
- Develop Enchancment Strategies
- Revise/Refine the Output
- Repeat Steps 2-5 Till Passable Result’s Achieved
- Create a brand new stream chart now
o1 Response:
o1 professional Response:
Remark:
Despite the fact that the content material in each the responses is identical, o1 is definetly successful by offering an precise stream chart, whereas o1 professional solely supplied the proper content material.
Verdict:
o1 ✅ | o1 professional ❌
Consequence Chart: o1 vs o1 professional
| Problem | Verdict |
|---|---|
| Zebra Downside | o1 professional succeeded, however was slower |
| Discover Variations | Each fashions carried out poorly |
| Math Downside | Each solved appropriately, o1 was sooner |
| Analyzing Article | o1 professional supplied extra depth |
| Picture Creation | Neither might generate pictures (GPT 4o might) |
| Making a Logical Move Chart | o1 received by creating an precise stream chart |
o1 professional appears to have a slight edge when it comes to problem-solving depth and accuracy, significantly in complicated duties like fixing the zebra drawback and analyzing technical articles. Nevertheless, o1 tends to be sooner and performs properly in less complicated duties.The decision seems to be that o1 professional is marginally higher, particularly for extra complicated or technical challenges that require deeper understanding.
Additionally Learn: Is the New o1 Mannequin Higher than GPT-4o?
Finish Notice
Whereas o1 professional exhibits promise in complicated problem-solving, it’s essential to contemplate your particular wants and finances. For fundamental to intermediate duties, GPT-4o or different extra reasonably priced alternate options may suffice. If complicated problem-solving is a precedence and also you’re prepared to speculate, o1 professional could possibly be a worthwhile device.
Nevertheless, on condition that OpenAI is frequently refining these fashions, it could be sensible to attend for additional updates earlier than making a definitive choice. OpenAI is probably going so as to add extra advantages to the $200 ChatGPT Professional plan sooner or later.
What are your ideas on this? Let me know within the remark part under.
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Hi there, I’m Nitika, a tech-savvy Content material Creator and Marketer. Creativity and studying new issues come naturally to me. I’ve experience in creating result-driven content material methods. I’m properly versed in search engine optimization Administration, Key phrase Operations, Net Content material Writing, Communication, Content material Technique, Enhancing, and Writing.
