Azure OpenAI vs OpenVINO comparison

Microsoft and Intel are both solutions in the AI Development Platforms category. Microsoft is ranked #1 with an average rating of 7.9, while Intel is ranked #14. Microsoft holds a 13.9% mindshare in AIDP, compared to Intel’s 1.5% mindshare. Additionally, 93% of Microsoft users are willing to recommend the solution, compared to 100% of Intel users who would recommend it.

Azure OpenAI

Read 32 Azure OpenAI reviews

8,832 Views
8,115 Comparison Views

93% willing to recommend

OpenVINO

Read 3 OpenVINO reviews

2,064 Views
1,100 Comparison Views

100% willing to recommend

Azure OpenAI

OpenVINO

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Executive SummaryUpdated on Dec 4, 2024

OpenVINO and Azure OpenAI are products catering to machine learning performance optimization and large-scale language model capabilities, respectively. OpenVINO appears advantageous for edge device integration, while Azure OpenAI provides superior features for cloud-based AI applications.

Features: OpenVINO provides advanced model optimization, supports heterogeneous execution, and is optimal for real-time applications on edge devices. Azure OpenAI offers access to powerful AI models, cloud service integration, and comprehensive support for natural language processing.

Ease of Deployment and Customer Service: OpenVINO allows easy deployment on edge devices with diverse hardware support and benefits from community-driven support. Azure OpenAI simplifies deployment within Azure's ecosystem and provides professional support with thorough documentation, enhancing ease of use in cloud environments.

Pricing and ROI: OpenVINO offers a low-cost entry with free licensing and efficient resource usage for edge devices. Azure OpenAI involves higher setup costs but provides substantial ROI through enhanced productivity and scalability with cloud infrastructure.

To learn more, read our detailed Azure OpenAI vs. OpenVINO Report (Updated: March 2025).

Buyer's Guide

Azure OpenAI vs. OpenVINO

March 2025

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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

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenVINO

Ranking in AI Development Platforms

14th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 13.9%, down from 20.9% compared to the previous year. The mindshare of OpenVINO is 1.5%, down from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

Viswanath Barenkala

Associate Vice President at State Street

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.

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reviewer1530384

Systems and Solutions Architect at a tech services company with 1,001-5,000 employees

Open-source, easy to integrate, and perfectly tailored to the Movidius chipset

Generally, when you deploy edge products, it's really about latency. It's about getting that camera input, being able to process it, extracting the information you need, and getting the solution back to the person who made the request. Although I'm not necessarily saying its latency or accuracy is bad, it's always something that can be improved upon. By focusing on improving these areas, they can make the overall solution even better. At this point, the product could probably just use a greater integration with more machine learning model tools. However, that's not advice from experience per se. That's always just helpful in general. To be able to incorporate more models into the product makes it stronger. Therefore, to be clear, it's not coming from a point of a current deficiency. It's just a general comment.

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Quotes from Members

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

Pros

"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."

"The most valuable feature is the ALM."

"Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues."

"Generative AI or GenAI seems to be the best part of the solution."

"The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users."

"Its versatility makes it incredibly useful for technical problem-solving, content creation, data analytics, and more."

"Azure's integration with OpenAI's GPT is beneficial as well, especially for text generation tasks."

More Azure OpenAI pros

"The inferencing and processing capabilities are quite beneficial for our requirements."

"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."

"The initial setup is quite simple."

Cons

"Our customers are worried about data management, ethical, and security issues."

"There are certain shortcomings with the product's scalability and support team where improvements are required."

"Deployment was slightly complex for me to understand."

"Azure OpenAI is not available in all regions, and its technical support should be improved."

"The fine-tuning of models with the use of Azure OpenAI is an area with certain shortcomings currently, and it can be considered for improvement in the future."

"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."

"The product must improve its dashboards."

"In the next release, they could enhance the product's features for even greater usability and efficiency."

More Azure OpenAI cons

"At this point, the product could probably just use a greater integration with more machine learning model tools."

"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."

"The model optimization is a little bit slow — it could be improved."

Pricing and Cost Advice

"The platform offers a flexible pricing model which depends on the features and capabilities we utilize."

"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."

"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."

"The tool costs around 20 dollars a month."

"I rate the product pricing six out of ten."

"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."

"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 cost is quite high and fixed."

More Azure OpenAI pricing and cost advice

"We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

11%

Educational Organization

Manufacturing Company

43%

Computer Software Company

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Azure OpenAI?

The product is easy to integrate with our IT workflow.

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What is your experience regarding pricing and costs for Azure OpenAI?

The pricing is very good for handling various kinds of jobs. While small jobs are manageable, more complex jobs require a higher model, which is a bit challenging.

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What needs improvement with Azure OpenAI?

Maybe with the next release, the response will be more precise and more human-like.

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Comparisons

Google Vertex AI vs Azure OpenAI

Compared 44% of the time

Hugging Face vs Azure OpenAI

Compared 12% of the time

Amazon SageMaker vs Azure OpenAI

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs Azure OpenAI

Compared 9% of the time

Fireworks AI vs Azure OpenAI

Compared 1% of the time

More Azure OpenAI Competitors

TensorFlow vs OpenVINO

Compared 58% of the time

PyTorch vs OpenVINO

Compared 22% of the time

Google Vertex AI vs OpenVINO

Compared 9% of the time

More OpenVINO Competitors

Product Reports

Buyer's Guide

Azure OpenAI

March 2025

Download Azure OpenAI product report

Buyer's Guide

OpenVINO

March 2025

Download OpenVINO product report

Overview

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.

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.

Microsoft

OpenVINO toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel hardware, maximizing performance. The OpenVINO toolkit includes the Deep Learning Deployment Toolkit (DLDT).

Intel

Buyer's Guide

Azure OpenAI vs. OpenVINO

March 2025

Free Report: Azure OpenAI vs. OpenVINO

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