Amazon Bedrock vs. IBM watsonx.ai

Amazon Bedrock

IBM watsonx.ai

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Amazon Bedrock	Score 9.0 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 8.3 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 ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)

Pricing

Amazon Bedrock

IBM 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 Bedrock	IBM watsonx.ai
Free Trial
No	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

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Pricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.

More Pricing Information

User Ratings
	Amazon Bedrock	IBM watsonx.ai
Likelihood to Recommend	10.0 (0 ratings)	8.2 (0 ratings)
Usability	10.0 (0 ratings)	7.8 (0 ratings)

User Testimonials
	Amazon Bedrock	IBM watsonx.ai
Likelihood to Recommend	No answers on this topic	For genai apps its very good i can say where we don't have to worry about the whole ecosystem their whole ecosystem is flawless and very powerful analytical capabilities. It maintains the data Quality and data security. When cost is concerned and when there are large data involved. It becomes costly and tuning of model is not straightforward as there is no proper active community for which we can take help Incentivized nikhil jaitak DataScientist Lead Read full review
Pros	No answers on this topic	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. Incentivized Gisel Bustamante Marketing and Digital Communication Specialist Read full review
Cons	No answers on this topic	I would love it to provide more low-code or no-code options so we could offer Watsonx to non-developer staff and students instead of ChatGPT or Copilot. They should have a natural language interface to the AI Assistant analytics so that there is no need to graph these outside Watson. Similarly, the 30 day limit on conversation data is limiting and drives us to build reporting outsdie IBM watsonx.ai. Incentivized Verified User Anonymous Read full review
Likelihood to Renew	No answers on this topic	its a future Incentivized Waldemar Pietrzak Architect Read full review
Usability	No answers on this topic	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. Incentivized Verified User Anonymous Read full review
Alternatives Considered	No answers on this topic	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 platform during my initial research. Incentivized Verified User Anonymous Read full review
Return on Investment	No answers on this topic	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 Incentivized Peter Hattingh CEO Read full review
ScreenShots		IBM watsonx.ai Screenshots