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 #12 with an average rating of 7.5. Microsoft holds a 12.0% 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

8,315 Views
7,525 Comparison Views

93% willing to recommend

OpenVINO

Read 5 OpenVINO reviews

1,899 Views
960 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: April 2025).

Buyer's Guide

Azure OpenAI vs. OpenVINO

April 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

12th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 12.0%, down from 20.8% compared to the previous year. The mindshare of OpenVINO is 1.6%, down from 2.6% 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

"Its ability to understand and respond well to queries, including language translation for clients, is beneficial."

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

"The most valuable feature is the ALM."

"The high precision of information extraction is the most valuable feature."

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

"The solution has a very drag-and-drop environment. Instead of coding something from scratch or understanding any concept in extensive depth before deployment, this is good. Plus, they have an auto dataset, which means you can choose any dataset they have instead of providing your own. So that's also pretty nice."

"Azure OpenAI is easy to use because the endpoints are created, and we just need to pass our parameters and info."

"Azure OpenAI is useful for benchmarking products."

More Azure OpenAI pros

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

"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 initial setup is quite simple."

Cons

"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."

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

"I noticed there are no instructional videos or guides on the network portal for initial configurations. There is limited information available, and this is a concern for me. I would like to see more resources and guides to address these issues."

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

"One area for improvement is providing more flexibility in configuration and connectivity with external tools."

"There are no available updates of information that are currently provided."

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

"We encountered challenges related to question understanding."

More Azure OpenAI cons

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

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

"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."

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

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

Pricing and Cost Advice

"The cost is quite high and fixed."

"Cost-wise, the product's price is a bit on the higher side."

"Regarding pricing and licensing, it's a bit complex due to the minimum purchase requirement for PTO units. We're evaluating the best approach between PTE and pay-as-you-go models. Our organization is cautious about committing to PTE due to the fixed bandwidth reservation, while pay-as-you-go doesn't offer enough flexibility. We're discussing these matters with legal teams to ensure compliance and data security."

"The cost structure depends on the volume of data processed and the computational resources required."

"The licensing is interaction-based, meaning transactional. It's reasonably priced for now."

"Azure OpenAI is a bit more expensive than other services."

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

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

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

14%

Computer Software Company

13%

Manufacturing Company

11%

Educational Organization

Manufacturing Company

42%

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?

In the past, the primary expense involved token limitations which constrained scaling. Recent iterations have increased token allowances, mitigating some challenges associated with concurrent user ...

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What needs improvement with Azure OpenAI?

Azure ( /products/microsoft-azure-reviews ) 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....

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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

Google Vertex AI vs Azure OpenAI

Compared 41% of the time

Hugging Face vs Azure OpenAI

Compared 14% of the time

Amazon SageMaker vs Azure OpenAI

Compared 12% of the time

Google Cloud AI Platform 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 59% of the time

PyTorch vs OpenVINO

Compared 22% of the time

Google Vertex AI vs OpenVINO

Compared 10% of the time

More OpenVINO Competitors

Product Reports

Buyer's Guide

Azure OpenAI

May 2025

Download Azure OpenAI product report

Buyer's Guide

OpenVINO

May 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

April 2025

Free Report: Azure OpenAI vs. OpenVINO

Find out what your peers are saying about Azure OpenAI vs. OpenVINO and other solutions. Updated: April 2025.

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