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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

"Compared to other language models, OpenAI offers richer and more articulate responses."
"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."
"The product is easy to integrate with our IT workflow."
"Azure OpenAI is useful for benchmarking products."
"You just have to write accurate prompts according to your requirements, and the solution gives very good results."
"It is easy to integrate and develop a solution. Most customers are concerned about the security of their data and how cost-effective it is. We have developed some methodologies so that our customers will not be charged too much for these OpenAI services but will still get the same kind of performance and results. It's all developed on Azure, so customers also see its benefit."
"The most valuable feature is the ALM."
"Our clients are interested in building knowledge bases, particularly in child welfare. In this domain, we focus on supporting caseworkers by compiling and organizing relevant information. This information is then stored in a database using a query. The database generates summaries and reminders for specific actions and even facilitates sending emails to parents or other relevant parties. The system's complexity is tailored to the specific needs of child welfare cases. Additionally, we're exploring opportunities to assist a healthcare organization. Specifically, we're working on streamlining the process of filling out forms required for insurance claims. This effort aims to ensure that hospitals can receive funding or payment for the care they provide."
"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

"Our customers are worried about data management, ethical, and security issues."
"Maybe with the next release, the response will be more precise and more human-like."
"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 UI could be a little easier."
"Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer."
"One area for improvement is providing more flexibility in configuration and connectivity with external tools."
"The product must improve its dashboards."
"Sometimes, it gives answers in English, even when the request is in Polish."
"The inference should be faster."
 

Pricing and Cost Advice

"The cost is pretty high. Even by US standards, you would find it high."
"The cost structure depends on the volume of data processed and the computational resources required."
"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"The solution's pricing depends on the services you will deploy."
"According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
"While the product meets our business requirements well, I consider it relatively expensive, especially for individual users like myself."
"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."
"I rate the product pricing six out of ten."
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.
916,771 professionals have used our research since 2012.