ChatGPT vs. IBM watsonx.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ChatGPT
Score 9.2 out of 10
N/A
OpenAI offers ChatGPT, an advanced general intelligence (AGI) chatbot which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.
$0
per month
IBM watsonx.ai
Score 8.7 out of 10
N/A
Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
$0
Pricing
ChatGPTIBM watsonx.ai
Editions & Modules
Free
$0
per month
Plus
$20
per month
Team
$30
per month per user
Pro
$200
per month
Enterprise
Contact Sales
Free Trial
$0
ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
Standard
$1,050
Monthly tier fee; additional usage based fees
Essentials
Contact Sales
Usage based fees
Offerings
Pricing Offerings
ChatGPTIBM watsonx.ai
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.
More Pricing Information
Community Pulse
ChatGPTIBM watsonx.ai
Considered Both Products
ChatGPT

No answer on this topic

IBM watsonx.ai
Chose IBM watsonx.ai
IBM watsonx.ai has a far richer an more poowerful toolset for running scale AI services.
Chose IBM watsonx.ai
The use cases of code explanation, code suggestion, code review, and code conversions from one language to another were relatively easy to build in Watson.ai than using CoPilot. I found that the contextualization of code for a packaged solution is easier to do in Watsonx.ai …
Best Alternatives
ChatGPTIBM watsonx.ai
Small Businesses
LocaliQ
LocaliQ
Score 8.8 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Medium-sized Companies
Piper the AI SDR by Qualified
Piper the AI SDR by Qualified
Score 8.9 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Enterprises
Conversica
Conversica
Score 4.1 out of 10
Dataiku
Dataiku
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ChatGPTIBM watsonx.ai
Likelihood to Recommend
9.4
(19 ratings)
9.0
(33 ratings)
Likelihood to Renew
10.0
(3 ratings)
6.4
(1 ratings)
Usability
9.2
(18 ratings)
7.9
(6 ratings)
Support Rating
7.0
(1 ratings)
-
(0 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
6.4
(2 ratings)
Product Scalability
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
ChatGPTIBM watsonx.ai
Likelihood to Recommend
OpenAI
I’d definitely recommend ChatGPT to anyone as a great introduction to generative AI and as a starting point in research, writing, brainstorming, or general questions or judgement questions. It can be a great tool to use when you don’t necessarily need an accurate answer. For example, I wouldn’t let it calculate my taxes, but I’d use it to ask some general tax questions, then ask for sources and then verify by checking those sources. I also love ChatGPT for writing and questions - it’s great for emails, creating templates and outlines, and for generating spreadsheet formulas.
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IBM
I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
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Pros
OpenAI
  • Saves time by generating content about a specific topic very quickly
  • Allows us to quickly learn information online (from various sources or even a single lengthy article) into more summed up digestible paragraphs (and even bullet points)
  • Can autogenerate content on a vast amount of topics
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IBM
  • It allows specialists to apply several base models for specific subtasks in the field of NLP.
  • Gives the availability of many models developed for AI enhancement for different solutions.
  • Has incorporated functionality for data governance and security to support access to AI tools by multiple users.
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Cons
OpenAI
  • Wish it had support for better slides generation. Sometimes we found ourselves using chatgpt to outline a presentation but build it ourselves or use a tool like Gamma
  • Maybe a chepear $10 plan. In some countries the US dollar can be expensive and $20 goes a long way.
  • I wish you could make projects with more files. They limit it. Or make the limit based on the content, not the number of files per se
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IBM
  • IBM watsonx.ai is expensive than other platforms.
  • Limited integraions though it has many but still some tools integrations not there for medical usecase
  • Its little difficult to learn as right now not many open reseouces
  • Community is not that strong to get any answer
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Likelihood to Renew
OpenAI
ChatGPT is a powerful assistant. As long as you understand what it is you're looking for in its results, it can save you a lot of time due to its ability to do the heavy lifting for you. This frees your time up to enable you to concentrate on other tasks.
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IBM
its a future
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Usability
OpenAI
It's a potent utility tool, personally and professionally. It’s also very convenient - it can be used for a wide range of things and scenarios, and when used correctly, it usually produces dependable results in
seconds. I would give it a full 10 if it didn't hallucinate as much as it does, and the image generator was more accurate.
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IBM
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
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Support Rating
OpenAI
Their responses are always professional , although they delay sometimes
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IBM
No answers on this topic
Alternatives Considered
OpenAI
I find that ChatGPT has the best overall system for user-friendly Ai. I like the customization options of this tool in comparison to others. The ease of setting up a custom GPT with knowledge and resources is great - you don't get that in other tools. I also like the ability to embed the application directly into the browser or computer. This is powerful and opens up addition features or tools
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IBM
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
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Return on Investment
OpenAI
  • I can solve problems quickly. What would take some time, for example, writing an SPF string, ChatGPT can do it correctly in seconds if I it gives the correct information.
  • The best tool I've ever used for research. For example, I can ask ChatGPT to list all the villages, cities and townships in a specific county. And provide the URL link for each.
  • Problems that seem unsolvable, i.e. why is Gmal rejecting every message from our list server is answered with a number of suggestions that I can follow up with.
  • Basically, has elimited a tech support position in our company.
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IBM
  • Time saving to set up the infrastructure - without watsonx.ai we would have had to set up everything individually
  • The first point translates directly into cost savings
  • The compliance aspect was a game changer for us and provided us with the confidence to focus all our efforts only on IBM watsonx.ai
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ScreenShots

IBM watsonx.ai Screenshots

Screenshot of the foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of the Prompt Lab in watsonx.ai, where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of the Tuning Studio in watsonx.ai, where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of the data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.