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Azure OpenAI vs Prem AI comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Sep 14, 2026

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
2nd
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
36
Ranking in other categories
No ranking in other categories
Prem AI
Ranking in AI Development Platforms
17th
Average Rating
10.0
Reviews Sentiment
1.0
Number of Reviews
2
Ranking in other categories
AI Software Development (26th)
 

Mindshare comparison

As of October 2026, in the AI Development Platforms category, the mindshare of Azure OpenAI is 7.4%, down from 9.4% compared to the previous year. The mindshare of Prem AI is 0.6%. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Azure OpenAI7.4%
Prem AI0.6%
Other92.0%
AI Development Platforms
 

Featured Reviews

MA
Consultant/Owner at Transc byte
Intelligent incident remediation has improved and medical summaries are generated automatically
The customization option in Azure OpenAI is quite challenging because any customization must be done through the knowledge base since Azure OpenAI models cannot be trained. I must build a knowledge base and feed it so that it will learn from that knowledge base. This differs from other local LLMs that I can train directly. For integration of Azure OpenAI with other Azure services, I would rate it five out of ten because it is an open Azure product and integrations work well with Azure services. However, when it comes to services outside of Azure, integration is quite difficult and requires more exploration. It is not as convenient. The point for improvement is integration with third-party services, which has a gap that needs addressing. Regarding other points for improvement for Azure OpenAI, Azure OpenAI is performing well overall, but I believe their models should offer local dedicated models for customers. All data sent to the current models goes to public models. Azure OpenAI should provide solutions to deliver local dedicated models for customers and should enable model training based on customer data. Customers are mostly concerned about their data, so this option is not feasible as currently structured. Even if it were dedicated for the customer and not used by others, it still does not align with compliance requirements because it remains an open model.
reviewer2760291 - PeerSpot reviewer
Head of AI at a consultancy with 1,001-5,000 employees
Has accelerated AI solution development through automated evaluation and fine-tuning
Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems. Prem Studio has a straightforward yet powerful approach to evaluate disparate AI architectures on our business problems and to accurately fine-tune the most promising ones. This significantly reduced time-to-market, almost by a factor of ten in my case, for solutions tailored and optimized for customer requirements and KPIs.

Quotes from Members

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

Pros

"It's very powerful. It allows users to query our documents using natural language and receive answers in the same way. This makes our product information much more accessible than traditional keyword-based search."
"OpenAI integrates seamlessly with the broader Microsoft Azure ecosystem, and that provides synergies with the other solutions. This integration makes it much easier to build solutions."
"Its ability to understand and respond well to queries, including language translation for clients, is beneficial."
"Azure OpenAI is very easy to use instead of AWS services."
"The AI search functionality is particularly effective, as it creates summaries from data."
"It's very easy to set up and easy to use; there is no issue with that."
"Compared to other language models, OpenAI offers richer and more articulate responses."
"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."
"The dataset management feature and the managed finetuning are the most valuable because they save the most time."
"Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems."
 

Cons

"I would like to see in the future that Azure OpenAI brings non-OpenAI models into their service because they currently do not have independent models and follow the OpenAI roadmap."
"The product must improve its dashboards."
"The main issue with Azure OpenAI is the inconsistency in output. We have a set template instruction, and it should generate within those parameters without any creativity because it's meant for regulatory authoring documents."
"The solution's response is a bit slow sometimes."
"There are certain shortcomings with the product's scalability and support team where improvements are required."
"Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required."
"Latency performance is a major part. And I'm seeking support for multiple models that handle text, images, videos, and voice. I'm from India, and I'm looking for more support in Indian languages. There are 18 official languages and many more unofficial. We need support for these languages, especially in voice moderation, which is not yet available."
"Maybe with the next release, the response will be more precise and more human-like."
"The inference should be faster."
 

Pricing and Cost Advice

"I'm uncertain about the licensing, specifically the pricing. This falls under the purview of other teams, particularly the sales teams. I am not informed about the pricing details."
"The platform offers a flexible pricing model which depends on the features and capabilities we utilize."
"Cost-wise, the product's price is a bit on the higher side."
"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."
"The solution's pricing depends on the services you will deploy."
"I rate the product pricing six out of ten."
"The tool costs around 20 dollars a month."
"Azure OpenAI is a bit more expensive than other services."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
9%
Financial Services Firm
9%
Computer Software Company
9%
Outsourcing Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise1
Large Enterprise19
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Azure OpenAI?
In terms of pricing for Azure OpenAI, I would rate it as average compared to Gemini. Currently, Gemini is becoming increasingly popular, which prompts leadership to consider a switch primarily due ...
What needs improvement with Azure OpenAI?
The customization option in Azure OpenAI is quite challenging because any customization must be done through the knowledge base since Azure OpenAI models cannot be trained. I must build a knowledge...
What is your primary use case for Azure OpenAI?
Azure OpenAI's main use case for me involves defining solutions for incident remediation where AI provides intelligence to solve problems, perform root cause analysis, or triage incidents or change...
What is your primary use case for Prem Studio?
I use Prem Studio to finetune LLM models so that they answer the way I want.
 

Overview

Find out what your peers are saying about Azure OpenAI vs. Prem AI and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.