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Amazon Bedrock vs. IBM watsonx.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Bedrock
Score 8.7 out of 10
N/A
Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.
$0
Price for 1,000 input or $0.0004 for 1000 output tokens
IBM watsonx.ai
Score 8.4 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
Amazon BedrockIBM watsonx.ai
Editions & Modules
Amazon Titan models- Titan Text – Lite
$0.0003
Price for 1,000 input or $0.0004 for 1000 output tokens
Cohere models - Command Light
$0.0003
Price for 1,000 input
Cohere models - Command Light
$0.0006
Price for 1,000 output
Meta model - Llama 2 Chat (13B)
$0.00075
Price for 1,000 input
Meta model - Llama 2 Chat (13B)
$0.001
Price for 1,000 output
Amazon Titan models- Titan Text – Express
$0.0013
Price for 1,000 input tokens or $0.0017 for 1000 output tokens
Cohere models - Command
$0.0015
Price for 1,000 inputtokens
Anthropic models - Claude Instant
$0.00163
Price for 1,000 input tokens
Cohere models - Command
$0.0020
Price for 1,000 output
Anthropic models - Claude Instant
$0.00551
Price for 1,000 output tokens
Anthropic models - Claude
$0.01102
Price for 1,000 input tokens
AI21 models - Jurassic-2 Mid
$0.0125
Price for 1,000 input or output tokens
AI21 models - Jurassic-2 Ultra
$0.0188
Price for 1,000 input or output tokens
Anthropic models - Claude
$0.03268
Price for 1,000 output tokens
Stability AI Model - SDXL1.0
$49.86
per hour (one month commitment)
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
Amazon BedrockIBM watsonx.ai
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details—Pricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.
More Pricing Information
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Amazon BedrockIBM watsonx.ai
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Score 7.7 out of 10
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Medium-sized Companies
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Enterprises
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User Ratings
Amazon BedrockIBM watsonx.ai
Likelihood to Recommend
10.0
(1 ratings)
8.3
(8 ratings)
Usability
10.0
(1 ratings)
7.8
(4 ratings)
User Testimonials
Amazon BedrockIBM watsonx.ai
Likelihood to Recommend
Amazon AWS
No answers on this topic
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.
Verified User
Anonymous
Read full review
Pros
Amazon AWS
No answers on this topic
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.
Gisel Bustamante | TrustRadius Reviewer
Gisel Bustamante
Marketing and Digital Communication Specialist
Read full review
Cons
Amazon AWS
No answers on this topic
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
nikhil jaitak | TrustRadius Reviewer
nikhil jaitak
DataScientist Lead
Read full review
Likelihood to Renew
Amazon AWS
No answers on this topic
IBM
its a future
Waldemar Pietrzak | TrustRadius Reviewer
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Usability
Amazon AWS
No answers on this topic
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.
Verified User
Anonymous
Read full review
Alternatives Considered
Amazon AWS
No answers on this topic
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.
Verified User
Anonymous
Read full review
Return on Investment
Amazon AWS
No answers on this topic
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
Peter Hattingh | TrustRadius Reviewer
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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.