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Cohere vs Google Cloud AI Platform 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
18th
Average Rating
7.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
AI Writing Tools (9th), Large Language Models (LLMs) (5th), AI Proofreading Tools (6th)
Google Cloud AI Platform
Ranking in AI Development Platforms
9th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the AI Development Platforms category, the mindshare of Cohere is 1.0%, up from 0.0% compared to the previous year. The mindshare of Google Cloud AI Platform is 3.6%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

CollinsOmondi - PeerSpot reviewer
Support team is available and answers all the questions and it is also free which is good for personal projects
The very first thing that I really like about it is the support team. They're really available on Discord, and they answer all of your questions. I think it's free for personal projects unless you want to go to production. I haven't really used it that much, but the features that I have used so far, I have no issues with them.
Vipul-Kumar - PeerSpot reviewer
An AI platform AI Platform to train your machine learning models at scale, to host your trained model in the cloud, and to use your model to make predictions about new data
I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.

Quotes from Members

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

Pros

"The very first thing that I really like about it is the support team. They're really available on Discord, and they answer all of your questions."
"A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational solution really quick."
"The initial setup is very straightforward."
"The platform's Google Vision API is particularly valuable."
"The solution is able to read 90% of the documents correctly with a 10% error rate."
"Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour."
"On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients."
"I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms."
"I have seen measurable benefits from Google Cloud AI Platform."
 

Cons

"Cohere has text generation. I think it is mainly focused on AI search. If there was a way to combine the searches with images, I think it would be nice to include that."
"The initial setup was straightforward for me but could be difficult for others."
"The technical support from Google is not very fast. I think it is about a five out of ten even though they have courses online where I can learn a lot, if I really need support, I have to wait a very long time."
"One thing that I found is that Azure ML does not directly provide you with features on Google Cloud AI Platform, whereas Vertex provides some features of the platform."
"It could be more clear, and sometimes there are errors that I don't quite understand."
"At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning."
"Customizations are very difficult, and they take time."
"The solution can be improved by simplifying the process to make your own models."
"The model management on Google Cloud AI Platform could be better."
 

Pricing and Cost Advice

Information not available
"For every thousand uses, it is about four and a half euros."
"The pricing is on the expensive side."
"The licenses are cheap."
"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."
"The price of the solution is competitive."
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Computer Software Company
11%
Financial Services Firm
10%
Comms Service Provider
8%
Computer Software Company
15%
Financial Services Firm
11%
Manufacturing Company
9%
University
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cohere?
Cohere has a free tier. You can use the API in development mode, so you can just use it for free. But if you go to production, you will have to pay. I would advise someone to really consider it fir...
What needs improvement with Cohere?
Cohere has text generation. I think it is mainly focused on AI search. If there was a way to combine the searches with images, I think it would be nice to include that.
What is your primary use case for Cohere?
I use it for a personal project, a Discord bot for my Discord server. I haven't used it that much, but so far it's amazing. I like the support team. They are very good.
What do you like most about Google Cloud AI Platform?
A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up...
What is your experience regarding pricing and costs for Google Cloud AI Platform?
For the most part, the pricing is perfect sinceit grows with the use of my app. In some cases, they could be more specific about the pricing, especially for some AI features.
What is your primary use case for Google Cloud AI Platform?
I use Google Cloud AI Platform due to Firebase and the many APIs that are available with it.
 

Overview

 

Sample Customers

Information Not Available
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