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Azure OpenAI vs Tavily comparison

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Executive Summary

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
Tavily
Ranking in AI Development Platforms
30th
Average Rating
7.0
Reviews Sentiment
3.7
Number of Reviews
1
Ranking in other categories
AI Infrastructure (13th)
 

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 Tavily is 0.8%. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Azure OpenAI7.4%
Tavily0.8%
Other91.8%
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.
SJ
Senior Data Scientist at a university with 51-200 employees
Web search for AI quiz generation has become faster while pricing and support still need improvement
Getting Tavily AWS Enterprise subscription seems to be more difficult than it should be regarding the specific benefits I have seen from using it or challenges I was trying to address with Tavily. Their support is not quite responsive. Initially they responded to emails quickly, but now it seems to have been days without a response. Their research plan and bootstrap plan are quite reasonably priced from my perspective on the pricing aspect of Tavily. However, their enterprise subscription is quite expensive and they are not very flexible. It is not suited for smaller use cases. Their enterprise subscription is meant for a very large use case. For companies of our size, which are neither big nor too small, it is difficult to get a subscription plan that will work for us. There should be more flexibility in the pricing. They have a few tiers such as the Bootstrap plan, but when companies want to onboard an external vendor, we are usually looking for some paperwork to be done and we expect ongoing communication with the team. They do not provide any of that with their smaller plans. They provide email communication and paperwork only through their enterprise plan, which is quite expensive. That is where the problem and challenge lies.

Quotes from Members

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

Pros

"GPT was useful for our projects."
"Compared to other language models, OpenAI offers richer and more articulate responses."
"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 document intelligence feature has significantly aided in our operations, facilitating the creation of descriptive content."
"Azure OpenAI is useful for benchmarking products."
"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 changes."
"Its ability to understand and respond well to queries, including language translation for clients, is beneficial."
"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."
"Tavily is configurable, which is something I appreciate about it, as we can specify the domains that we want to search in, it is quite fast, and the setup is easy."
 

Cons

"Our customers are worried about data management, ethical, and security issues."
"In terms of scalability, I would rate it nine for technical ability to expand. However, from a cost perspective, I would rate it five because it is too costly."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"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."
"There are no available updates of information that are currently provided."
"The solution can be improved by reducing the token cost so that consumption from the customer is on higher side."
"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."
"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."
"Their research plan and bootstrap plan are quite reasonably priced from my perspective on the pricing aspect of Tavily. However, their enterprise subscription is quite expensive and they are not very flexible."
 

Pricing and Cost Advice

"The cost is quite high and fixed."
"The solution's pricing depends on the services you will deploy."
"Azure OpenAI is a bit more expensive than other services."
"The platform offers a flexible pricing model which depends on the features and capabilities we utilize."
"It's a token-based system, so you pay per token used by the model."
"Cost-wise, the product's price is a bit on the higher side."
"The licensing is interaction-based, meaning transactional. It's reasonably priced for now."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
Outsourcing Company
9%
Manufacturing Company
9%
Computer Software 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 needs improvement with Tavily?
Getting Tavily AWS Enterprise subscription seems to be more difficult than it should be regarding the specific benefits I have seen from using it or challenges I was trying to address with Tavily. ...
What is your primary use case for Tavily?
I am currently using Tavily for a quiz generation engine, specifically an AI quiz generation engine regarding a few use cases for it. Sometimes we need real-time information from the web, and our a...
What advice do you have for others considering Tavily?
From a technical standpoint, Tavily is good based on my experience. However, their pricing could be a shock if you do not know it well ahead of time and assume that it will be reasonable. That is s...
 

Overview

Find out what your peers are saying about Google, Microsoft, Amazon Web Services (AWS) and others in AI Development Platforms. Updated: October 2026.
919,894 professionals have used our research since 2012.