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 with an average rating of 7.0. Microsoft holds a 12.9% mindshare in AIDP, compared to Intel’s 1.6% 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 33 Azure OpenAI reviews

8,663 Views
7,905 Comparison Views

93% willing to recommend

OpenVINO

Read 5 OpenVINO reviews

1,955 Views
1,020 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

7.8

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

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 12.9%, down from 21.1% compared to the previous year. The mindshare of OpenVINO is 1.6%, down from 3.0% 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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Mahender Reddy Pokala

AI Developer at University of Chicago

Improved model deployment on edge devices, but compatibility and scalability present challenges

I found OpenVINO ( /products/openvino-reviews )'s ability to convert custom models into its format particularly beneficial, as businesses sometimes require unique models specific to their use cases. Utilizing OpenVINO allowed me to run these custom models on devices directly, which I found quite impressive. Additionally, the Model Zoo offered by OpenVINO added value to the product.

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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

"You just have to write accurate prompts according to your requirements, and the solution gives very good results."

"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."

"The product is easy to integrate with our IT workflow."

"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."

"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."

"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 document intelligence feature has significantly aided in our operations, facilitating the creation of descriptive content."

"Azure OpenAI is useful for benchmarking products."

More Azure OpenAI pros

"The initial setup is quite simple."

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

"Intel's support team is very good."

"The runtime of OpenVINO is highly valuable for running different computer vision models."

Cons

"There could be an ability to generate visual data, such as architecture diagrams."

"The solution's response is a bit slow sometimes."

"The product must improve its dashboards."

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

"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."

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

"The product features themselves are fine. However, with Microsoft scaling the service so much, the support structure needs to keep pace. When solving complex issues, the process of interacting with Microsoft can be quite time-consuming."

"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."

More Azure OpenAI cons

"It would be great if OpenVINO could convert new models into its format more quickly."

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

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

"Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively."

"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."

Pricing and Cost Advice

"It's a token-based system, so you pay per token used by the model."

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

"While the product meets our business requirements well, I consider it relatively expensive, especially for individual users like myself."

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

"The pricing is acceptable, and it's delivering good value for the results and outcomes we need."

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

"The solution's pricing depends on the services you will deploy."

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

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.

See all answers

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.

See all answers

What needs improvement with Azure OpenAI?

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

See all answers

What is your experience regarding pricing and costs for OpenVINO?

The OpenVINO software itself is open source and not priced. However, I found edge devices, such as cameras, can be somewhat expensive, around $150.

See all answers

What needs improvement with OpenVINO?

One improvement could be making OpenVINO less dependent on Intel-based processing chips. Expanding cross-platform compatibility, allowing it to work beyond Intel and its edge devices, would be bene...

See all answers

What is your primary use case for OpenVINO?

I used OpenVINO ( /products/openvino-reviews ) for almost three years, starting in 2020. My initial use case involved attempting to connect or run models using quantization within cameras as edge d...

See all answers

Comparisons

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Compared 42% of the time

Hugging Face vs Azure OpenAI

Compared 13% of the time

Amazon SageMaker vs Azure OpenAI

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs Azure OpenAI

Compared 8% of the time

Wit.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

April 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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