Amazon Bedrock vs. Vertex AI

Amazon Bedrock

Vertex 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
Vertex AI	Score 8.7 out of 10	N/A	Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.	$0 Starting at

Pricing

Amazon Bedrock

Vertex 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)

Imagen model for image generation: $0.0001
Starting at
Text, chat, and code generation: $0.0001
per 1,000 characters
Text data upload, training, deployment, prediction: $0.05
per hour
Video data training and prediction: $0.462
per node hour
Image data training, deployment, and prediction: $1.375
per node hour

Offerings

Pricing Offerings
Amazon Bedrock	Vertex AI
Free Trial
No	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Optional

Additional Details

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Pricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.

More Pricing Information

Pricing Info

Best Alternatives
	Amazon Bedrock	Vertex AI
Small Businesses	IBM SPSS Modeler Score 7.8 out of 10	Google Cloud AI Score 8.5 out of 10
Medium-sized Companies	Posit Score 9.2 out of 10	Google Cloud AI Score 8.5 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10	Dataiku Score 8.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Amazon Bedrock	Vertex AI
Likelihood to Recommend	- (0 ratings)	8.1 (7 ratings)
Performance	- (0 ratings)	8.1 (3 ratings)
Configurability	- (0 ratings)	8.6 (4 ratings)

User Testimonials
	Amazon Bedrock	Vertex AI
Likelihood to Recommend	Amazon AWS No answers on this topic	Google We needed to build some ML models and Vertex AI is one such place where all the functionalities are consolidated for model deployment, tweaking and monitoring. And although it is costly, it is compatible with google cloud services and is scalable which makes it the perfect tool for us. Incentivized EL Edwin Leonard Senior Software Engineer Read full review
Pros	Amazon AWS No answers on this topic	Google Vertex AI comes with support for LOTs of LLMs out of the box MLOps tools are available that help to standardize operational aspects Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers Incentivized Verified User Anonymous Read full review
Cons	Amazon AWS No answers on this topic	Google Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users Incentivized Ekta Shah Associate Data Scientist Read full review
Performance	Amazon AWS No answers on this topic	Google Vertex AI is very user friendly and it is very fast. We can spin up instances pretty quickly and it allows to work with GPU instances without much planning. Pages load up very quickly and tasks are competed pretty much in time frame. It integrates with other systems also very well. Incentivized Ekta Shah Associate Data Scientist Read full review
Alternatives Considered	Amazon AWS No answers on this topic	Google Vertex AI is much more accessible to non-developers than IBM's product. Moreover, Vertex AI integrates well with other Google products, enhancing its capabilities. A big plus is its integration with cloud storage, that allows for better management and access of data. In all honesty, it wasn't much of a difficult choice to choose Vertex AI. Incentivized Verified User Anonymous Read full review
Return on Investment	Amazon AWS No answers on this topic	Google It consolidated all the functionalities in one place for AI and ML development. Scalable and compatible with google cloud services. Though we can manually allocate resources, it is still very costly. Incentivized EL Edwin Leonard Senior Software Engineer Read full review
ScreenShots		Vertex AI Screenshots