TrustRadius

Vertex AI vs. OpenAI API

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Vertex AI
Score 8.6 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
OpenAI API
Score 9.6 out of 10
N/A
OpenAI headquartered in San Francisco, aims to ensure that artificial general intelligence benefits all of humanity. OpenAI’s API provides access to GPT-3, which performs a wide variety of natural language tasks, and Codex, which translates natural language to code.
$0
per  1K tokens
Pricing
Vertex AIOpenAI API
Editions & Modules
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
Ada
$0.0008
per  1K tokens
Babbage
$0.0012
per  1K tokens
Curie
$0.0060
per  1K tokens
Davinci
$0.0600
per  1K tokens
Offerings
Pricing Offerings
Vertex AIOpenAI API
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.—
More Pricing Information
Best Alternatives
Vertex AIOpenAI API
Small Businesses
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
Dataiku
Dataiku
Score 8.6 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Vertex AIOpenAI API
Likelihood to Recommend
8.1
(7 ratings)
10.0
(1 ratings)
Performance
8.1
(3 ratings)
-
(0 ratings)
Configurability
8.6
(4 ratings)
-
(0 ratings)
User Testimonials
Vertex AIOpenAI API
Likelihood to Recommend
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.
EL
Edwin Leonard
Senior Software Engineer
Read full review
OpenAI
Evolving own Business.
Nelson Lopez | TrustRadius Reviewer
Nelson Lopez
CEO (Chief Executive Officer)
Read full review
Pros
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
Verified User
Anonymous
Read full review
OpenAI
  • Codes
  • Text
  • Images
  • Sound
Nelson Lopez | TrustRadius Reviewer
Nelson Lopez
CEO (Chief Executive Officer)
Read full review
Cons
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
Ekta Shah | TrustRadius Reviewer
Ekta Shah
Associate Data Scientist
Read full review
OpenAI
  • Restrictions are sometimes too strong
Nelson Lopez | TrustRadius Reviewer
Nelson Lopez
CEO (Chief Executive Officer)
Read full review
Performance
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.
Ekta Shah | TrustRadius Reviewer
Ekta Shah
Associate Data Scientist
Read full review
OpenAI
No answers on this topic
Alternatives Considered
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.
Verified User
Anonymous
Read full review
OpenAI
Due to in part of difficult situation, OpenAI recognizes me as a researcher and supports my projects.
Nelson Lopez | TrustRadius Reviewer
Nelson Lopez
CEO (Chief Executive Officer)
Read full review
Return on Investment
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.
EL
Edwin Leonard
Senior Software Engineer
Read full review
OpenAI
  • Big question about functionality
Nelson Lopez | TrustRadius Reviewer
Nelson Lopez
CEO (Chief Executive Officer)
Read full review
ScreenShots

Vertex AI Screenshots

Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation - A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.