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Cohere vs Qwen comparison

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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 Large Language Models (LLMs)
3rd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
10
Ranking in other categories
AI Development Platforms (9th), AI Writing Tools (5th), AI Proofreading Tools (4th)
Qwen
Ranking in Large Language Models (LLMs)
9th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Large Language Models (LLMs) category, the mindshare of Cohere is 7.3%, up from 6.6% compared to the previous year. The mindshare of Qwen is 7.1%, up from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Large Language Models (LLMs) Mindshare Distribution
ProductMindshare (%)
Cohere7.3%
Qwen7.1%
Other85.6%
Large Language Models (LLMs)
 

Featured Reviews

SinghAman - PeerSpot reviewer
Generative AI Engineer at a outsourcing company with 10,001+ employees
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
Comms Service Provider
13%
Financial Services Firm
11%
Outsourcing Company
8%
Manufacturing Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise8
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere?
My experience with pricing, setup cost, and licensing was that it was all managed by AWS, and we had AWS credits, so I did not have to dive into that.
What needs improvement with Cohere?
Cohere can be improved by having more integrations beyond its current offerings with Amazon. Integrations with Databricks, Azure, and Google Cloud would be beneficial.
What is your primary use case for Cohere?
My main use case for Cohere is that it's a good embedding model. I have used it with Titan, but Cohere came out better. A specific example of how I've used Cohere for embeddings is when I was worki...
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Comparisons

 

Overview

Find out what your peers are saying about Google, OpenAI, Cohere and others in Large Language Models (LLMs). Updated: October 2026.
917,433 professionals have used our research since 2012.