Cohere vs Google Vertex AI comparison

Cohere and Google are both solutions in the AI Development Platforms category. Cohere is ranked #18 with an average rating of 7.0, while Google is ranked #2 with an average rating of 8.4. Cohere holds a 0.8% mindshare in AIDP, compared to Google’s 11.8% mindshare. 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

420 Views
290 Comparison Views

100% willing to recommend

Google Vertex AI

Read 12 Google Vertex AI reviews

8,787 Views
7,908 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

July 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

18th

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

6.7

Number of Reviews

Ranking in other categories

AI Infrastructure (1st)

Mindshare comparison

As of July 2025, in the AI Development Platforms category, the mindshare of Cohere is 0.8%. The mindshare of Google Vertex AI is 11.8%, down from 21.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

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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Hamada Farag

Technology Consultant at Beta Information Technology

Customization and integration empower diverse AI applications

We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.

Read full review

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."

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

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

"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 support is perfect and fantastic."

"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."

"It provides the most valuable external analytics."

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

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."

"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'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 takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced."

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

"I believe that Vertex AI is a robust platform, but its effectiveness depends significantly on the domain knowledge of the developer using it. While Vertex AI does offer support through the console UI in the Google Cloud environment, it is better suited for technical members who have a deeper understanding of machine learning concepts. The platform may be challenging for business process developers (BPDUs) who lack extensive technical knowledge, as it involves intricate customization and handling numerous parameters. Effectively utilizing Vertex AI requires not only familiarity with machine learning frameworks like TensorFlow or PyTorch but also a proficiency in Python programming. The complexity of these requirements might pose challenges for less technically oriented users, making it crucial to have a solid foundation in both machine learning principles and Python coding to extract the full value from Vertex AI. It would be beneficial to have a streamlined process where we can leverage the capabilities of Vertex AI directly through the BigQuery UI. This could involve functionalities such as creating machine learning models within the BigQuery UI, providing a more user-friendly and integrated experience. This would allow users to access and analyze data from BigQuery while simultaneously utilizing Vertex AI to build machine learning models, fostering a more cohesive and efficient workflow."

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

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

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

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."

"The solution's pricing is moderate."

"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."

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Top Industries

By visitors reading reviews

Computer Software Company

12%

Manufacturing Company

11%

Financial Services Firm

11%

Comms Service Provider

Computer Software Company

13%

Financial Services Firm

11%

Manufacturing Company

Educational Organization

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...

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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?

Google Vertex AI is one of the best in the market, followed by Azure AI. It can be rated at eight or nine out of ten. It is not completely mature and needs some features and functions. The interfac...

See all answers

Comparisons

Hugging Face vs Cohere

Compared 21% of the time

Gemini vs Cohere

Compared 15% of the time

GroqCloud Platform vs Cohere

Compared 10% of the time

Azure OpenAI vs Cohere

Compared 8% of the time

AI21 Studio vs Cohere

Compared 7% of the time

More Cohere Competitors

Azure OpenAI vs Google Vertex AI

Compared 34% of the time

Microsoft Azure Machine Learning Studio vs Google Vertex AI

Compared 15% 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

July 2025

Download Cohere product report

Buyer's Guide

Google Vertex AI

July 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

July 2025

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