Cohere vs Google Vertex AI comparison

Cohere and Google are both solutions in the AI Development Platforms category. Cohere is ranked #17 with an average rating of 7.0, while Google is ranked #2 with an average rating of 8.3. Additionally, 100% of Cohere users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Cohere

Read 1 Cohere review

192 Views
117 Comparison Views

100% willing to recommend

Google Vertex AI

Read 10 Google Vertex AI reviews

8,778 Views
7,813 Comparison Views

100% willing to recommend

Cohere

Google Vertex AI

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Executive Summary

We performed a comparison between Cohere and Google Vertex AI based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms.

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AI Development Platforms

May 2025

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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

17th

Average Rating

7.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

AI Writing Tools (9th), Large Language Models (LLMs) (5th), AI Proofreading Tools (6th)

Google Vertex AI

Ranking in AI Development Platforms

2nd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

AI Infrastructure (1st)

Featured Reviews

CollinsOmondi

Mobile Application Developer at Uamuzi Foundation

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.

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Serge Dahdouh

CEO at Les Roches International School of Hotel Management

A user-friendly platform that automatizes machine learning techniques with minimal effort

We work with clients who request the implementation of a certain document into a chatbot. Because of the limited knowledge of AI, our task is to link that file to the ML and provide a platform that can work as a customer service. We previously used LangChain Phython, but now it is done through Vertex AI.

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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."

"Google Vertex AI is an out-of-the-box and very easy-to-use solution."

"We extensively utilize Google Cloud's Vertex AI platform for our machine learning workflows. Specifically, we leverage the IO branch for EDA data in Suresh Live Virtual, employing Forte IT for training machine learning models. The AI model registry in Vertex AI is crucial for cataloging and managing various versions of the models we develop. When it comes to deploying models, we rely on Google Cloud's AI Prediction service, seamlessly integrating it into our workflow for real-time predictions or streaming. For monitoring and tracking the outcomes of model development, we employ Vertex AI Monitoring, ensuring a comprehensive understanding of the model's performance and results. This integrated approach within Vertex AI provides a unified platform for managing, deploying, and monitoring machine learning models efficiently."

"The integration of AutoML features streamlines our machine-learning workflows."

"Vertex comes with inbuilt integration with GCP for data storage."

"The most valuable features of the solution are that it is quite flexible, and some of the services are almost low-code, with no-code services, so it gives agents flexibility to build the use cases according to the operational needs."

"The most valuable feature we've found is the model garden, which allows us to deploy and use various models through the provided endpoints easily."

"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."

"It provides the most valuable external analytics."

More Google Vertex AI pros

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."

"I've noticed that using chat activity often presents a broader range of options and insights for a well-constructed question. Improving the knowledge base could be a key aspect for enhancement—expanding the information sources to enhance the generation process."

"It would be beneficial to have certain features included in the future, such as image generators and text-to-speech solutions."

"Google Vertex AI is good in machine learning and AI, but it lacks optimization."

"The solution is stable, but it is quite slow. Maybe my data is too large, but I think that Google could improve Vertex AI's training time."

"I'm not sure if I have suggestions for improvement."

"The tool's documentation is not good. It is hard."

"I think the technical documentation is not readily available in the tool."

"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."

More Google Vertex AI cons

Pricing and Cost Advice

Information not available

"The price structure is very clear"

"The Versa AI offers attractive pricing. With this pricing structure, I can leverage various opportunities to bring value to my business. It's a positive aspect worth considering."

"I think almost every tool offers a decent discount. In terms of credits or other stuff, every cloud provider provides a good number of incentives to onboard new clients."

"The solution's pricing is moderate."

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

13%

Financial Services Firm

12%

Manufacturing Company

Retailer

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...

See all answers

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.

See all answers

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.

See all answers

What do you like most about Google Vertex AI?

We extensively utilize Google Cloud's Vertex AI platform for our machine learning workflows. Specifically, we leverage the IO branch for EDA data in Suresh Live Virtual, employing Forte IT for trai...

See all answers

What is your experience regarding pricing and costs for Google Vertex AI?

They have different pricing models like pay-as-you-go or subscription model, and total cost of ownership. It is comparatively cheaper than Azure.

See all answers

What needs improvement with Google Vertex AI?

I'm not sure if I have suggestions for improvement. Based on my comparison between the two, Vertex has various additional functionalities that Azure doesn't provide.

See all answers

Comparisons

Hugging Face vs Cohere

Compared 29% of the time

Google Gemini vs Cohere

Compared 14% of the time

GroqCloud Platform vs Cohere

Compared 14% of the time

Fireworks AI vs Cohere

Compared 13% of the time

Together Inference vs Cohere

Compared 12% of the time

More Cohere Competitors

Azure OpenAI vs Google Vertex AI

Compared 36% of the time

Microsoft Azure Machine Learning Studio vs Google Vertex AI

Compared 19% of the time

Hugging Face vs Google Vertex AI

Compared 11% of the time

Amazon SageMaker vs Google Vertex AI

Compared 7% of the time

TensorFlow vs Google Vertex AI

Compared 4% of the time

More Google Vertex AI Competitors

Product Reports

Buyer's Guide

AI Development Platforms

May 2025

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Buyer's Guide

Google Vertex AI

May 2025

Download Google Vertex AI product report

Overview

Cohere provides a robust language AI platform designed for efficient implementation in various domains, offering advanced features for automation and data analysis.

Cohere delivers a scalable AI language model that facilitates automation in data-driven environments. Highly adaptable to industry-specific requirements, it supports tasks such as text generation, summarization, and anomaly detection. This flexibility, along with its integration capabilities, makes it valuable for tech-savvy users seeking seamless AI solutions.

What are the notable features of Cohere?

Adaptive Language Models: Efficiently handle diverse text-based tasks with customizable models.
Data Integration: Seamless integration into existing databases and applications for smooth operation.
Scalability: Support for scaling processes to meet enterprise-level demands without performance loss.

What benefits should users consider in reviews?

Cost Efficiency: Reduction in manual task overhead leading to budget savings.
Performance Improvement: Boost in operational productivity due to automation and precise data handling.
Customization: Ability to tailor AI functionalities to specific industry needs or unique processes.

Cohere sees significant use in finance, healthcare, and marketing, enabling precise data analysis and strategic insights. In finance, it assists with detecting market trends, while in healthcare, it supports clinical documentation and research analysis. Marketing uses include content creation and consumer sentiment analysis.

Cohere

Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified artificial intelligence platform.

Google

Buyer's Guide

AI Development Platforms

May 2025

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