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Azure OpenAI vs Cohere 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:
 

ROI

Sentiment score
6.3
Azure OpenAI boosts productivity and cost savings, enabling rapid prototyping, scalability, and reducing workforce needs across sectors.
Sentiment score
5.3
Cohere's competitive pricing and faster embedding enhance application development efficiency, despite challenges in measuring overall return.
Cohere's Embed English model took less time to embed than OpenAI's embedding ada-002 model.
Engineer at Roche
Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals.
Senior Solution Architect at Hitachi Systems India Private Ltd
 

Customer Service

Sentiment score
5.4
Microsoft’s customer service is professional and supportive, though access issues and AI-driven improvements are needed.
Sentiment score
5.4
Cohere's customer service is positively rated, though some users haven't interacted yet due to lack of significant issues.
It is important for organizations like Microsoft to apply OpenAI solutions within their own structures.
Associate consultant at a tech services company with 1,001-5,000 employees
If the initial support personnel cannot resolve a query, it escalates to someone with more expertise.
Data Engineer at a educational organization with 201-500 employees
 

Scalability Issues

Sentiment score
6.3
Azure OpenAI is scalable for cloud apps but faces challenges with token limits and regional capacity for some users.
Sentiment score
6.0
Cohere's scalability is praised for effective response, but some users note slowdowns with large data and extensive scenarios.
The scalability depends on whether the application is multimodal or uses a single model.
Associate consultant at a tech services company with 1,001-5,000 employees
The API works fine, allowing me to scale indefinitely.
IT Manager at Pluris Midia
We don't observe many scaling problems because it's an enterprise application.
Founding Engineer at Agentize.AI
 

Stability Issues

Sentiment score
7.1
Azure OpenAI is highly stable, reliable for enterprises, with occasional downtime and performance variances during peak usage.
Sentiment score
7.8
Users generally find Cohere stable, rating it six out of ten, with no major issues or downtime reported.
Overall, it is acceptable, but the major issue we currently face in this project is the hallucination problem.
AI Engineering Manager at a tech vendor with 10,001+ employees
The solution works fine, particularly for enterprises or even some small enterprises.
Associate consultant at a tech services company with 1,001-5,000 employees
We haven't had any issues to escalate to Cohere's support because reranking is an optional feature in our product, and we haven't seen any significant issues so far.
Founding Engineer at Agentize.AI
 

Room For Improvement

Azure OpenAI users seek improved integration, better support, diverse models, and cost-effective, reliable solutions with enhanced scalability and accuracy.
Cohere should enhance visual-text integration, similarity accuracy, dashboard features, documentation, and optimize similarity search distances for improvement.
They should consider bringing non-OpenAI models also into their fold, just as AWS Bedrock, which provides its own models and models from other commercial providers through the Bedrock service.
Senior Principal Architect at a tech vendor with 5,001-10,000 employees
Expanding token limitations for scaling while ensuring concurrent user access is crucial.
Data Engineer at a educational organization with 201-500 employees
Azure needs to work on its own model development and improve the integration of voice-to-text services.
Associate consultant at a tech services company with 1,001-5,000 employees
We want such features because when chatting with clients, we can demonstrate that employing Cohere's reranking model significantly improves results compared to not using it.
Founding Engineer at Agentize.AI
Because it does not have extensive understanding of Oracle functionalities in ERP, it sometimes gives wrong results or the confidence score is lower than desired.
Sr Test engineer at a tech vendor with 10,001+ employees
During the embedding process, measurable metrics are not visible.
DevOps Engineer at CHI Software
 

Setup Cost

Azure OpenAI pricing is variable, with reports of both satisfaction and concerns compared to AWS and open-source options.
Enterprise buyers find Cohere's pricing competitive yet potentially costly when additional services are included, with mixed cost experiences.
The pricing is very good for handling various kinds of jobs.
IT Manager at Pluris Midia
Recent iterations have increased token allowances, mitigating some challenges associated with concurrent user access at scale.
Data Engineer at a educational organization with 201-500 employees
My experience with pricing, setup cost, and licensing is that it is expensive to use all Oracle services.
Senior Data Scientist at a tech vendor with 10,001+ employees
Cohere's pricing, setup cost, and licensing are better.
Senior Solution Architect at Hitachi Systems India Private Ltd
The prices are competitive compared to competitors.
DevOps Engineer at CHI Software
 

Valuable Features

Azure OpenAI excels in precision, scalability, and ease of use, enhancing productivity with intuitive tools and GPT model integration.
Cohere provides efficient, reliable, and cost-effective AI features enhancing business productivity through creative, structured, and secure applications.
OpenAI models help me create predictive analysis products and chat applications, enabling me to automate tasks and reduce the workforce needed for repetitive work, thereby streamlining operations.
Data Engineer at a educational organization with 201-500 employees
The most valuable features are Azure AI Foundry; we use Azure AI Foundry to deploy various Azure OpenAI agents within Azure, such as Assistant, Azure OpenAI Assistant using Azure AI Foundry.
Senior Principal Architect at a tech vendor with 5,001-10,000 employees
This makes it very easy to find and use the catalog to determine whether existing functionality is already implemented, preventing redundant implementations.
Sr Test engineer at a tech vendor with 10,001+ employees
Cohere has positively impacted my organization by helping our customers work more efficiently when creating requests, and the embedding results are of very high quality.
DevOps Engineer at CHI Software
I noticed a 10% improvement in my log system after using Cohere.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
1st
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
35
Ranking in other categories
No ranking in other categories
Cohere
Ranking in AI Development Platforms
12th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
AI Writing Tools (3rd), Large Language Models (LLMs) (5th), AI Proofreading Tools (5th)
 

Mindshare comparison

As of January 2026, in the AI Development Platforms category, the mindshare of Azure OpenAI is 6.5%, down from 15.7% compared to the previous year. The mindshare of Cohere is 1.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
Azure OpenAI6.5%
Cohere1.3%
Other92.2%
AI Development Platforms
 

Featured Reviews

RC
AI Engineering Manager at a tech vendor with 10,001+ employees
Empowerment in regulatory content generation marred by inconsistency and hallucination issues
While it is good, we sometimes encounter hallucination issues, which is a significant concern. We are changing the prompt and fine-tuning it, but we still face some inconsistent behavior. We have specific instructions and keep the temperature very low to avoid overly generative responses, ensuring we receive specific answers from the particular source document without deviation; however, the results can sometimes vary. The main issue with Azure OpenAI is the inconsistency in output. We have a set template instruction, and it should generate within those parameters without any creativity because it's meant for regulatory authoring documents. The business provides the template instructions, and it should generate accordingly. While we have different prompts for various needs, sometimes it generates the correct results, and sometimes it does not, leading to inconsistency. For stability, based on the current model I am using, I would rate Azure OpenAI a 7 due to the ongoing hallucination issues.
AS
Engineer at Roche
Have improved project workflows using faster response times and reduced data embedding costs
One thing that Cohere can improve is related to some distances when I am trying similarity search. Let's suppose I have provided textual data that has been embedded. I have to use some extra process from numpy after embedding the model. In the case of OpenAI embedding models, I do not have to use that extra process, and they provide lower distances compared to my results from Cohere. I was getting distances of approximately 0.005 sometimes, but in the case of Cohere, I was getting distances around 0.5 or sometimes more than that. I think that can be improved. It was possibly because of some configuration or the way I was using it, but I am not exactly sure about that.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Government
5%
Manufacturing Company
11%
Educational Organization
8%
Computer Software Company
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise1
Large Enterprise19
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

What do you like most about Azure OpenAI?
The product is easy to integrate with our IT workflow.
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?
I have not thought about how Azure OpenAI can be improved. I have not explored AI model customization in Azure OpenAI, but it's not a very common use case to do model customization. There are certa...
What is your experience regarding pricing and costs for Cohere?
My experience with pricing, setup cost, and licensing is that it is expensive to use all Oracle services.
What needs improvement with Cohere?
I am uncertain about how Cohere can be improved. The documentation and support could be improved, as there is limited documentation available on the web.
What is your primary use case for Cohere?
My main use case for Cohere is for LLM and chatbot development. I use Cohere to fill boxes about documents, specifically about tenders. Cohere helps me fill boxes about documents, and I work with d...
 

Comparisons

 

Overview

Find out what your peers are saying about Azure OpenAI vs. Cohere and other solutions. Updated: December 2025.
880,745 professionals have used our research since 2012.