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Cohere vs IBM Machine Learning 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

Cohere
Ranking in AI Development Platforms
12th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
10
Ranking in other categories
AI Writing Tools (3rd), Large Language Models (LLMs) (5th), AI Proofreading Tools (5th)
IBM Machine Learning
Ranking in AI Development Platforms
47th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the AI Development Platforms category, the mindshare of Cohere is 1.8%, up from 0.4% compared to the previous year. The mindshare of IBM Machine Learning is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Cohere1.8%
IBM Machine Learning0.5%
Other97.7%
AI Development Platforms
 

Featured Reviews

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
Manufacturing Company
10%
Financial Services Firm
8%
Marketing Services Firm
8%
Comms Service Provider
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise7
No data available
 

Questions from the Community

What needs improvement with Cohere?
English is where the language understanding was specifically beneficial for us. Cohere is a solid LLM that processes all files well. I would appreciate additional features such as OCR and similar c...
What is your primary use case for Cohere?
I work with Cohere and have been doing so for about two months. Currently, I am working with AWS Cloud and cloud services, and we use models like GPT-4o mini, 2.1, and Cohere. We primarily use Engl...
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Also Known As

No data available
PowerAI, IBM PowerAI Enterprise
 

Overview

 

Sample Customers

Information Not Available
Caixa Geral de Depósitos France, KIST Europe
Find out what your peers are saying about Google, Microsoft, Hugging Face and others in AI Development Platforms. Updated: March 2026.
885,789 professionals have used our research since 2012.