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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Bedrock

    Score6.5 out of 10
    N/AAmazon 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

    Score8.3 out of 10
    N/AWatsonx.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 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
    Amazon BedrockIBM watsonx.ai
    Considered Both Products
    Amazon AWS
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    14 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    14 Answers
    User Ratings
    Amazon BedrockIBM watsonx.ai
    Likelihood to Recommend
    -
    (0 ratings)
    8.2
    (8 ratings)
    Usability
    -
    (0 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.
    Incentivized
    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.
    Incentivized
    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
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    IBM
    its a future
    Incentivized
    Read full review
    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.
    Incentivized
    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.
    Incentivized
    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
    Incentivized
    Read full review
    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.