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Azure OpenAI vs Tavily comparison

 

Comparison Buyer's Guide

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
3rd
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
29th
Average Rating
7.0
Reviews Sentiment
3.7
Number of Reviews
1
Ranking in other categories
AI Infrastructure (13th)
 

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

"Compared to other language models, OpenAI offers richer and more articulate responses."
"The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users."
"Azure's integration with OpenAI's GPT is beneficial as well, especially for text generation tasks."
"The Azure platform integrates seamlessly with Databricks and all other Azure-related tools such as Power BI."
"My goal was to create an experience where project managers don't have to read through entire documents. Instead, they can ask a question and receive relevant point analysis. This analysis identifies the document and specific section where the information resides. Previously, users had to rely on these document references. Now, Azure OpenAI enhances the experience by providing the answer directly in the user's own language, relevant to their context."
"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."
"Generative AI or GenAI seems to be the best part of the solution."
"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."
"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

"Sometimes, the responses are repetitive."
"One area for improvement is providing more flexibility in configuration and connectivity with external tools."
"Deployment was slightly complex for me to understand."
"There are certain shortcomings with the product's scalability and support team where improvements are required."
"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."
"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."
"Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer."
"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."
"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

"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."
"It's a token-based system, so you pay per token used by the model."
"The pricing is acceptable, and it's delivering good value for the results and outcomes we need."
"The licensing is interaction-based, meaning transactional. It's reasonably priced for now."
"The cost is quite high and fixed."
"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"The solution's pricing depends on the services you will deploy."
"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
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
10%
Comms Service Provider
7%
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, Hugging Face, Microsoft and others in AI Development Platforms. Updated: June 2026.
906,852 professionals have used our research since 2012.