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Azure OpenAI vs Google Cloud AI Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
1st
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
33
Ranking in other categories
No ranking in other categories
Google Cloud AI Platform
Ranking in AI Development Platforms
8th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 11.6%, down from 20.5% compared to the previous year. The mindshare of Google Cloud AI Platform is 3.9%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Viswanath Barenkala - PeerSpot reviewer
Offers tools to moderate generated content and guidance to safely design applications, but it is not consistently accessible
Instead of a feature, the GPT-4 model has been most beneficial for automating tasks. We transitioned from GPT-3.5 to GPT-4 and actively use it. However, we face limitations due to geographic availability, subscription constraints, and rate limiting, which we are currently negotiating and working towards optimizing. While we haven't formally benchmarked Azure OpenAI's language understanding against industry standards, we find it performs well about 70-80% of the time. Occasionally, we need to refine our queries and adapt our systems accordingly to improve accuracy and effectiveness.
HaiPham - PeerSpot reviewer
Helps with text extraction from images and has a straightforward setup process
We use Google Cloud AI Platform to extract text from images, such as forms.  The platform's Google Vision API is particularly valuable. It helps with text extraction from images.  Improvements in text extraction accuracy and pricing adjustments would be helpful. The solution is stable.  We have…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"My goal was to create an experience where project managers don't have to read through entire documents. Instead, they can ask a question and receive relevant point analysis. This analysis identifies the document and specific section where the information resides. Previously, users had to rely on these document references. Now, Azure OpenAI enhances the experience by providing the answer directly in the user's own language, relevant to their context."
"Its ability to understand and respond well to queries, including language translation for clients, is beneficial."
"Generative AI or GenAI seems to be the best part of the solution."
"Azure OpenAI is very easy to use instead of AWS services."
"The document intelligence feature has significantly aided in our operations, facilitating the creation of descriptive content."
"Two aspects I appreciate are the turnaround time and ease of use. As it's a managed service, the quick turnaround is beneficial, and the simple interface makes it easy to work with. Performance and scalability are also strong points since you can scale as needed."
"Azure OpenAI is useful for benchmarking products."
"Azure OpenAI is easy to use because the endpoints are created, and we just need to pass our parameters and info."
"On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients."
"The solution is able to read 90% of the documents correctly with a 10% error rate."
"The initial setup is very straightforward."
"The platform's Google Vision API is particularly valuable."
"I have seen measurable benefits from Google Cloud AI Platform."
"The feedback left about these tools was really helpful and informative for us"
"Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour."
"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."
 

Cons

"Azure could significantly benefit from including more LLM models apart from OpenAI, as I often need to switch clouds when a model doesn't meet my requirements."
"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."
"I noticed there are no instructional videos or guides on the network portal for initial configurations. There is limited information available, and this is a concern for me. I would like to see more resources and guides to address these issues."
"There are certain shortcomings with the product's scalability and support team where improvements are required."
"There could be an ability to generate visual data, such as architecture diagrams."
"We are awaiting the new updates like multi-model capabilities."
"I have found the tool unreliable in certain use cases. I aim to enhance the system's latency, particularly in responding to calls. Occasionally, calls don't respond, so I want to improve reliability."
"The dialogue manager needs to be improved."
"The technical support from Google is not very fast. I think it is about a five out of ten even though they have courses online where I can learn a lot, if I really need support, I have to wait a very long time."
"The model management on Google Cloud AI Platform could be better."
"It could be more clear, and sometimes there are errors that I don't quite understand."
"Customizations are very difficult, and they take time."
"Improvements in text extraction accuracy and pricing adjustments would be helpful."
"The initial setup was straightforward for me but could be difficult for others."
"I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite."
"One thing that I found is that Azure ML does not directly provide you with features on Google Cloud AI Platform, whereas Vertex provides some features of the platform."
 

Pricing and Cost Advice

"The solution's pricing depends on the services you will deploy."
"I rate the product pricing six out of ten."
"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."
"The licensing is interaction-based, meaning transactional. It's reasonably priced for now."
"Azure OpenAI is a bit more expensive than other services."
"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."
"It's a token-based system, so you pay per token used by the model."
"The licenses are cheap."
"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."
"For every thousand uses, it is about four and a half euros."
"The price of the solution is competitive."
"The pricing is on the expensive side."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
11%
Educational Organization
6%
Computer Software Company
16%
Financial Services Firm
11%
Manufacturing Company
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Azure OpenAI?
The product is easy to integrate with our IT workflow.
What is your experience regarding pricing and costs for Azure OpenAI?
In the past, the primary expense involved token limitations which constrained scaling. Recent iterations have increased token allowances, mitigating some challenges associated with concurrent user ...
What needs improvement with Azure OpenAI?
Azure ( /products/microsoft-azure-reviews ) could significantly benefit from including more LLM models apart from OpenAI, as I often need to switch clouds when a model doesn't meet my requirements....
What do you like most about Google Cloud AI Platform?
A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up...
What is your experience regarding pricing and costs for Google Cloud AI Platform?
For the most part, the pricing is perfect sinceit grows with the use of my app. In some cases, they could be more specific about the pricing, especially for some AI features.
What is your primary use case for Google Cloud AI Platform?
I use Google Cloud AI Platform due to Firebase and the many APIs that are available with it.
 

Overview

 

Sample Customers

Information Not Available
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Find out what your peers are saying about Azure OpenAI vs. Google Cloud AI Platform and other solutions. Updated: June 2025.
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