Fireworks AI vs Google Vertex AI comparison

Fireworks AI and Google are both solutions in the AI Development Platforms category. Fireworks AI is ranked #11 with an average rating of 10.0, while Google is ranked #3 with an average rating of 8.1. Fireworks AI holds a 4.8% mindshare in AIDP, compared to Google’s 8.1% mindshare. Additionally, 100% of Fireworks AI users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Fireworks AI

Read 1 Fireworks AI review

2,261 Views
2,125 Comparison Views

100% willing to recommend

Google Vertex AI

Read 14 Google Vertex AI reviews

6,731 Views
5,991 Comparison Views

100% willing to recommend

Fireworks AI

Google Vertex AI

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Executive Summary

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

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To learn more, read our detailed AI Development Platforms Report (Updated: January 2026).

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AI Development Platforms

January 2026

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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

Fireworks AI

Ranking in AI Development Platforms

11th

Average Rating

10.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

AI Software Development (19th), AI Finance & Accounting (7th), AI Research (4th)

Google Vertex AI

Ranking in AI Development Platforms

3rd

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

AI-Agent Builders (6th)

Mindshare comparison

As of January 2026, in the AI Development Platforms category, the mindshare of Fireworks AI is 4.8%, up from 3.3% compared to the previous year. The mindshare of Google Vertex AI is 8.1%, down from 17.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Market Share Distribution
Product	Market Share (%)
Google Vertex AI	8.1%
Fireworks AI	4.8%
Other	87.1%

AI Development Platforms

Featured Reviews

reviewer2588646

Senior Software Development Engineer at a tech services company with 1-10 employees

Enhanced text-to-image creation with solid API and fine-tuning support

We primarily use Fireworks AI for text-to-image generation. We are developing a platform for artists to sell their art styles, where the system helps them tune a model and then sell images generated from their signature Fireworks AI has helped our organization by enabling us to create a platform…

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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

"Fireworks AI has a solid API and is quite easy to interact with."

"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."

"Vertex AI possesses multiple libraries, so it eliminates the need for extensive coding."

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

"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."

"It provides the most valuable external analytics."

"The best feature of Google Vertex AI is the ease of use, along with the integration with the rest of the Google ecosystem and the way models can be made available outside Google through endpoints."

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

"The most useful function of Google Vertex AI for me is the ease of integration, as we can easily create a prompt and integrate it into our current system."

More Google Vertex AI pros

Cons

"When using the API, it does not return information about the charges for image generation, which would be useful for our solution."

"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."

"Google can improve Google Vertex AI in terms of analysis and accuracy. When passing a very large context, instead of receiving vague responses, it would be better if the system could prompt users not to pass overly large prompts and provide clearer guidance on how to fine-tune Gemini for specific use cases."

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

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

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

"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."

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

"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."

More Google Vertex AI cons

Pricing and Cost Advice

Information not available

"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 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."

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Top Industries

By visitors reading reviews

University

18%

Computer Software Company

11%

Comms Service Provider

Financial Services Firm

Computer Software Company

13%

Financial Services Firm

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Fireworks AI?

I cannot comment on pricing or setup cost since others handle that aspect. As a developer, I primarily use the API.

See all answers

What needs improvement with Fireworks AI?

Returning the values charged for each event generation would improve Fireworks AI. When using the API, it does not return information about the charges for image generation, which would be useful f...

See all answers

What is your primary use case for Fireworks AI?

See all answers

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

I purchased Google Vertex AI directly from Google, as we are a partner of Google. I would rate the pricing for Google Vertex AI as low; the price is affordable.

See all answers

What needs improvement with Google Vertex AI?

We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models. We have to do some fine-tuning, hyperparameter optimization, and othe...

See all answers

What is your primary use case for Google Vertex AI?

We are developing AI models and agents using Google Vertex AI platform, and we are deploying them using Google Vertex AI platform on Google Cloud Platform, GCP. With just one single platform, Googl...

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Compared 14% of the time

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Compared 9% of the time

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Compared 7% of the time

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Product Reports

Buyer's Guide

AI Development Platforms

January 2026

Download Fireworks AI product report

Buyer's Guide

Google Vertex AI

January 2026

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Overview

Fireworks AI uses advanced technologies to streamline operations and enhance user experience, catering to industry-specific requirements and driving innovation.

Fireworks AI integrates cutting-edge tools for data processing, offering seamless automation in managing complex workflows. It addresses industry needs through scalable solutions adaptable to personalized requirements. Fireworks AI ensures optimized performance, enhancing decision-making efficiency across businesses.

What are the crucial features of Fireworks AI?

Automated Workflow Management: Streamlines complex processes efficiently.
Data Analytics: Provides insightful analytics for informed strategy development.
Scalability: Offers flexible scaling to match business growth trajectories.
Industry Integration: Solutions tailored to the unique demands of different industries.

Which benefits and ROI should users evaluate?

Increased Efficiency: Significant reduction in workload through automation.
Cost Savings: Optimizes resources, leading to reduced operational costs.
Enhanced Decision-Making: Supports data-driven decisions for better outcomes.
Scalability: Facilitates growth without proportional cost increases.

Industries such as healthcare and finance benefit from Fireworks AI by streamlining data management, improving client interaction, and supporting compliance through automated document handling. Each deployment adjusts to specific sector demands, ensuring relevant application across diverse business environments.

Fireworks AI

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

Google

Buyer's Guide

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January 2026

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