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o1 vs o1 professional: Is it price spending $200?

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o1 vs o1 professional: Is it price spending $200?


OpenAI lately launched o1 and o1 professional of their 12 Days of OpenAI – Reside updates, providing limitless entry via a $200 ChatGPT Professional subscription. With a lot hypothesis surrounding their capabilities, I puzzled – Is that this premium subscription well 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 total efficiency. By the top, you’ll have a transparent understanding of whether or not the $200 ChatGPT Professional subscription is the proper selection for you or not!

o1 vs o1 pro

Problem 1. Fixing a Zebra Downside

As the primary check of o1 vs o1 professional, I’m taking a zebra drawback – exhausting stage from this web site. Let’s see which one cracks it higher!

Immediate:

Clear up 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 right:

Statement:

o1 professional took rather more time than o1 to reply. o1 fails to unravel the issue, whereas o1 professional succeds!

Verdict:

o1 ❌ | o1 professional ✅

Problem 2: Discover Distinction

Immediate:

Discover 3 variations within the two photographs:

o1 Response:

  • Merchandise in hand: Within the left picture, she’s holding a spoon. In the proper picture, she’s holding an ice cream cone as an alternative.
  • Hair accent: Within the left picture, her hair is obvious. In the proper 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 proper picture, the stitching machine is changed by a easy inexperienced field (or body).

Statement:

Solely the second distinction is right which is the hair accent lacking, relaxation 2 are incorrect.

o1 professional Response:

  • The woman’s coiffure accent: In the proper 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 proper 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 proper picture, that scoop has turned white.

Statement:

Solely the primary distinction is right. Relaxation 2 are incorrect.

Each o1 and o1 professional weren’t in a position to reply correctlty. Nonetheless, o1 was sooner in producing the response.

Verdict:

o1 ❌ | o1 professional ❌

Problem 3: Clear up a Math Downside

On this problem, I will likely be giving a computing Indefinite Integrals drawback to the fashions. Let’s see which one is ready to clear up it!

Immediate:

Clear up this math drawback:

o1 and o1 professional Response (Identical):

Statement:

Each the fashions supplied the proper reply however the o1 was a lot sooner than o1 professional 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 know the method of constructing a vector database for Wikipedia knowledge. Summarize the important thing steps in a concise method.

o1 Response:

o1 professional Response:

Statement:

The “o1 professional response” is nearer to the precise implementation within the article. Right here’s why:

The article supplies a way more detailed, step-by-step implementation involving:

  • Utilizing particular libraries like LangChain and OpenAI embeddings
  • Loading Wikipedia knowledge from a particular archive
  • Utilizing Chroma because the vector database
  • Implementing superior RAG parts like:
    • Question rephrasing
    • Doc relevance grading
    • Internet search integration
    • A posh 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

In contrast, 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:

Statement:

Each o1 and o1 professional weren’t in a position to generated photographs indicating each the o1 variations don’t assist picture technology. Nonetheless, on giving the identical immediate to GPT 4o, I acquired the response:

Therefore, it’s protected 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 Movement Chart

Immediate:

Create a complete circulation chart illustrating the Reflection Sample in Agentic AI.

o1 Response:

o1 professional Response:

Each supplied incomplete circulation 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 Recommendations
  • Revise/Refine the Output
  • Repeat Steps 2-5 Till Passable Result’s Achieved
  • Create a brand new circulation chart now

o1 Response:

o1 professional Response:

Statement:

Although the content material in each the responses is identical, o1 is definetly profitable by offering an precise circulation chart, whereas o1 professional solely supplied the proper content material.

Verdict:

o1 ✅ | o1 professional ❌

Outcome 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 accurately, o1 was sooner
Analyzing Article o1 professional supplied extra depth
Picture Creation Neither might generate photographs (GPT 4o might)
Making a Logical Movement Chart o1 received by creating an precise circulation chart

o1 professional appears to have a slight edge by way of problem-solving depth and accuracy, notably in complicated duties like fixing the zebra drawback and analyzing technical articles. Nonetheless, o1 tends to be sooner and performs nicely in easier 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 reveals promise in complicated problem-solving, it’s vital to contemplate your particular wants and finances. For fundamental to intermediate duties, GPT-4o or different extra inexpensive alternate options would possibly suffice. If complicated problem-solving is a precedence and also you’re prepared to take a position, o1 professional might be a useful device.

Nonetheless, on condition that OpenAI is regularly refining these fashions, it is perhaps sensible to attend for additional updates earlier than making a definitive determination. 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 beneath.

Keep tuned to Analytics Vidhya Weblog for extra such superior updates!

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 nicely versed in search engine marketing Administration, Key phrase Operations, Internet Content material Writing, Communication, Content material Technique, Modifying, and Writing.