Azure OpenAI Reviews

Name: Azure OpenAI
Brand: Microsoft
Rating: 3.9 (34 reviews)

3.9 out of 5

34 reviews
93% willing to recommend

What is Azure OpenAI?

Azure OpenAI integrates advanced language models with robust security for precise information extraction and task automation. Its seamless Azure integration and drag-and-drop interface simplify implementation and enhance accessibility.

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Azure OpenAI is the #2 ranked solution in top AI Development Platforms. PeerSpot users give Azure OpenAI an average rating of 7.8 out of 10. Azure OpenAI is most commonly compared to Google Vertex AI: Azure OpenAI vs Google Vertex AI. Azure OpenAI is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 13% of all views.

Helped 865,140 peers since 2012

Featured Azure OpenAI reviews

Rafael Keller

IT Manager at Pluris Midia

I am using it to create agents to schedule appointments for clinics and professionals in general. It serves both small and major companies. The primary use case involves creating agents Its ability to understand and respond well to queries, including language translation for clients, is…

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Viswanath Barenkala

Associate Vice President at State Street

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.

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Anup Karade

Associate Vice President at LTIMindtree

We have created our own platform called CanvasAI. It provides machine-learning plumbing and integration with your services. So, we've integrated Azure OpenAI through Canvas. We're also looking at some hard interface modeling from AWS as well. We access Azure OpenAI solutions for our business workflow via the platform, not directly from the service provider. There are security considerations we're working through with the security team, etc. Canvas provides the control plane, which handles RBAC for user registration and model management. For internal processes, we're using OpenAI to create partner call reports, like summarizing quarterly zip code data and other financial models. We also use it for legal and contract stuff, like comparing SOWs and contracts. For user experience, we've created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions.

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Azure OpenAI mindshare

As of August 2025, the mindshare of Azure OpenAI in the AI Development Platforms category stands at 10.3%, down from 19.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

AI Development Platforms

PeerResearch reports based on Azure OpenAI reviews

Type	Title	Date
Category	AI Development Platforms	Aug 17, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 17, 2025	Download
Comparison	Azure OpenAI vs Google Vertex AI	Aug 17, 2025	Download
Comparison	Azure OpenAI vs Hugging Face	Aug 17, 2025	Download
Comparison	Azure OpenAI vs Microsoft Azure Machine Learning Studio	Aug 17, 2025	Download

Title	Rating	Mindshare	Recommending
Google Vertex AI	4.2	11.1%	100%	12 interviews Add to research
Amazon SageMaker	3.9	5.0%	91%	38 interviews Add to research

Valuable Features

Azure OpenAI offers high precision in information extraction and conversational capabilities. Its drag-and-drop environment and auto dataset feature simplify processes, while the chatbot aids healthcare tasks. Users benefit from natural language queries, modular design, security, and easy integration. Efficient for automation, image annotation, and summarizing large documents. The platform excels in data generation, scalability, and accessibility. Users appreciate its accuracy, compliance, and benchmarking capabilities. Performance and training resources enhance deployment speed. Users leverage GPT models and AI search functionality effectively.

"Azure OpenAI is used as chat services, allowing me to replace human tasks with analytical capabilities."
"I would rate it a nine out of ten."
"Azure's integration with OpenAI's GPT is beneficial as well, especially for text generation tasks."

Room for Improvement

Azure OpenAI faces challenges, such as limited regional availability, slow response times, and high costs. Users note inconsistent outputs and hallucination issues, calling for better real-time support, expanded language capabilities, and improved accuracy. The model should offer more tailored AI solutions, integrate seamlessly with various platforms, provide enhanced security, and refine multimodal interactions. Improved understanding of pricing and documentation clarity is desired alongside support for diverse languages and complex enterprise needs.

"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."
"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."
"Azure needs to work on its own model development and improve the integration of voice-to-text services, particularly for right-to-left languages such as Arabic and Urdu. The accuracy in these languages requires improvement."

ROI

Azure OpenAI contributes to cost savings with reduced enforcement costs and lower expertise requirements. It enhances productivity and completion speed. Businesses experience cost-saving outcomes and prototyping efficiency. They achieve measurable differences quickly. With integration into development processes, productivity climbs significantly, with developers and testers utilizing Azure OpenAPI effectively. Tasks are streamlined, resulting in a positive return on investment. The platform provides significant benefits in scalability and efficiency, leading to enhanced service delivery and performance metrics like improved response times.

Pricing

Azure OpenAI pricing is dynamic, dependent on data volume, required computational resources, and specific services deployed. Users note it as relatively high but comparable with other providers, offering a flexible token-based system. Costs vary per service like ChatGPT or machine learning, influenced by factors such as token usage and computational needs. Engagement in Microsoft’s enterprise agreements may offer pricing advantages, essential for managing and controlling potential operational expenses. Considerations include negotiated monthly or yearly payments.

"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."
"I rate the product pricing six out of ten."
"While the product meets our business requirements well, I consider it relatively expensive, especially for individual users like myself."

Popular Use Cases

Azure OpenAI is used primarily for automating invoice processing, digitalizing records, building chatbots, extracting data, and generating content. It's employed extensively in healthcare for predictive analytics, in retail for transforming documents, and in educational institutes for document analysis. Organizations utilize it for creating enterprise solutions, building agents for scheduling, developing dashboards, and optimizing insurance processes, providing powerful AI-driven insights and automation across industries.

Service and Support

Customer service for Azure OpenAI receives mixed feedback. While many appreciate Microsoft's support, noting it as responsive and professional, others face delays and lack of direct ticketing. Some find that technical support varies in efficiency. Communication with support personnel seems consistent for those with dedicated contacts. There's recognition of competence among support staff, though resource availability is a concern. Users express the need for AI chatbots to enhance support experience.

Deployment

Azure OpenAI's initial setup is generally user-friendly, but deployment timelines vary. While documentation is clear, deployment complexities arise from security concerns and regional limitations, requiring Microsoft approval. Some users find the cloud and API integration efficient, while others face challenges due to roles, access settings, and infrastructure as code. Despite ease, the setup's simplicity can lead to governance and compliance issues. Azure OpenAI deployment typically spans from a few minutes to several days, depending on specific use cases.

Scalability

Azure OpenAI receives mixed feedback on scalability. Some users find it highly scalable, especially with cloud-based solutions, but others face challenges with high loads and regional capacity. Issues include token limits, delayed responses during peak loads, and increased transaction costs for small organizations. While many praise its scalability capabilities, others highlight the need for proper configurations and intermediary services for load balancing. Overall, Azure OpenAI is seen as scalable, but opinions vary based on use cases and configurations.

Stability

Azure OpenAI has been rated highly for stability by many, with scores often reaching nine out of ten. Users rarely encounter downtime, though occasional performance variations and the need for optimizations could enhance consistency. While it generally functions well across various enterprises, some note that during peak times, it may experience fluctuations. Despite these rare occurrences, the majority report a stable experience with Azure OpenAI without significant issues.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Azure OpenAI Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

13%

Manufacturing Company

11%

Government

Educational Organization

Insurance Company

University

Comms Service Provider

Healthcare Company

Retailer

Energy/Utilities Company

Real Estate/Law Firm

Media Company

Non Profit

Hospitality Company

Performing Arts

Construction Company

Wholesaler/Distributor

Legal Firm

Consumer Goods Company

Outsourcing Company

Recreational Facilities/Services Company

Transportation Company

Pharma/Biotech Company

International Affairs Institute

Engineering Company

Logistics Company

Compare Azure OpenAI with alternative products

Learn more about Azure OpenAI

Azure OpenAI offers a comprehensive suite of features designed for efficient data processing and task automation. It provides high precision in extracting information and strong conversational capabilities, crucial for developing chatbots and customer support systems. Its integration with Azure ensures seamless data handling and security, addressing key enterprise requirements. Users can employ its versatile GPT models for diverse applications such as predictive analytics, summarizing large documents, and competitive benchmarking. Despite its strengths, it faces challenges like latency, inadequate regional support, and limited integration of new technologies. Improvements in model fine-tuning and more flexible configuration are desired by users.

What features make Azure OpenAI a reliable choice?

High Precision: Ensures accurate data extraction suitable for critical applications.
Conversational Capabilities: Facilitates the creation of sophisticated chatbots.
Azure Integration: Seamlessly connects with Azure services for enhanced functionality.
Automation Support: Automates repetitive tasks, improving efficiency.
Security Features: Offers robust protection for sensitive data.
Drag-and-Drop Environment: Simplifies user interaction and deployment.

What benefits and ROI should users consider?

Natural Language Processing: Provides superior language model performance.
Quick Implementation: Reduces time to deploy applications.
Scalability: Supports growing business needs with ease.
Versatile GPT Models: Applicable across different industry workflows.

Azure OpenAI is implemented across industries like healthcare, finance, and education for tasks like invoice processing, digitalizing records, and language translation. It enhances policy management, document assimilation, and customer support with predictive analytics and keyword extraction. Organizations in such sectors benefit from streamlined workflows and task automation.