No more typing reviews! Try our Samantha, our new voice AI agent.

Fireworks AI vs Make comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.4
Fireworks AI boosts efficiency, cuts costs, and enhances task speed, offering improved performance and a strong ROI for businesses.
Sentiment score
5.8
Using Make, businesses achieved up to 500% returns through automation, reducing labor costs and enhancing operational efficiency.
Fireworks AI's biggest return on investment comes from faster AI application performance.
ML Engineer at a energy/utilities company with 51-200 employees
I have indeed seen a return on investment as it has saved us hundreds of hours in repetitive tasks, streamlining our follow-up to the leads that we are generating.
Network Engineer at AT&T
I implemented a booking system for my client that previously required data to be entered directly into Google Sheets and reminders to be sent manually; using Make, they have saved about 50% of their time, which equals one labor resource, translating to a significant amount of money saved.
Founder at WebEase
With that extra time each month, I could focus more on sales and upscaling my business, so it is really worth it.
 

Customer Service

Sentiment score
5.8
Fireworks AI offers helpful and responsive customer service, with effective support and well-structured documentation facilitating straightforward workflows.
Sentiment score
5.4
Make offers efficient customer support with quick responses, helpful forums, effective documentation, and a reliable chatbot for inquiries.
Fireworks AI's documentation is well-structured and most deployment workflows are relatively straightforward and easy to understand once familiar with the ecosystem.
ML Engineer at a energy/utilities company with 51-200 employees
Responses were not super fast, but helpful enough.
FullStack Developer at EnactOn Technologies
We have escalated a few issues that we faced during some integrations, and we received reasonable responses from Make support.
Chief Executive Officer at Ashtex Solutions
They were doing the best job for my use cases and my problems.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
When I had a problem during the pricing payment, the customer support handled it very well.
Freelancer at a consultancy with 11-50 employees
 

Scalability Issues

Sentiment score
7.5
Fireworks AI offers scalable solutions, maintaining low-latency and flexibility, ideal for seamlessly transitioning from testing to production workloads.
Sentiment score
5.4
Make is praised for scalability and ease, but enterprise pricing and complex workflow errors challenge extensive scaling.
This has become very valuable because we have production applications with unpredictable traffic spikes, making Fireworks AI the backbone of our valuable production AI applications.
ML Engineer at a energy/utilities company with 51-200 employees
It's clearly built for production workloads.
FullStack Developer at EnactOn Technologies
When you have an error, it is very hard to do error handling and debugging.
Automation Engineer at MyDubai.io
Make's scalability is very good, and if the pricing were lower, I could scale a lot more.
Founder at WebEase
Whenever a new task comes to mind, I think about automating it with Make, which is good.
Gtm Operator, Lead Generator at 404Minds Technologies
 

Stability Issues

Sentiment score
8.1
Fireworks AI is highly stable and reliable, consistently handling high-throughput AI workloads with minimal slowdowns or downtime.
Sentiment score
7.2
Make is mostly stable and reliable, with few minor issues, and is often used alongside Zapier for effectiveness.
Fireworks AI performs particularly well under high-throughput AI workloads where low latency is very important for us.
ML Engineer at a energy/utilities company with 51-200 employees
We didn't face any major outages, just occasional slowdowns.
FullStack Developer at EnactOn Technologies
 

Room For Improvement

Fireworks AI requires better documentation, integration, and pricing details to enhance usability, debugging, and onboarding efficiency for teams.
Make needs better API integration, pricing, debugging, usability, and developer features, plus increased free limits for improved user experience.
Fireworks AI is based on tool calling, so I think it needs to add more other kinds of connections to enable faster data retention and optimization.
Ai스페셜리스트매니저 at a tech vendor with 501-1,000 employees
Needed improvements for Fireworks AI would be better examples in documentation, especially for real-world use cases.
FullStack Developer at EnactOn Technologies
Another challenge I would address is broader integrations and workflow tooling around advanced fine-tuning pipelines, which would be a great addition to Fireworks AI.
ML Engineer at a energy/utilities company with 51-200 employees
There should be clarity about whether the data is secure while passing through these automations or integrations created within Make.
Chief Executive Officer at Ashtex Solutions
I would love to have more detailed logs, step-by-step error tracing, and better visualization of failed executions, as I think it would improve the user experience significantly.
software engineer at a non-tech company with 1,001-5,000 employees
The lagging problem needs to be solved.
Gtm Operator, Lead Generator at 404Minds Technologies
 

Setup Cost

Make offers affordable pricing compared to Zapier, valued for time savings and streamlined automation, with manageable enterprise setup costs.
While the pricing may feel expensive for smaller teams, the operational burden reduction and performance improvements that Fireworks AI provides make the investment justifiable.
ML Engineer at a energy/utilities company with 51-200 employees
Licensing was affordable.
Network Engineer at AT&T
I found a solution that allows me to use Make almost for free, just using the Docker on-premises.
Automation Engineer at MyDubai.io
It's cost-effective and it's pocket-friendly.
Bubble.Io | Xano | No Code | Mba | Make | Zapier | Full Stack at Indian Railways
 

Valuable Features

Fireworks AI offers fast, scalable performance with efficient deployment, reduced latency, customization options, and enhanced GPU optimization for AI applications.
The platform offers a no-code interface, integrations, and automation, boosting efficiency and accessibility for all user levels.
It follows standard OpenAI-compatible endpoints, which meant we could swap out models or integrate new ones without rewriting our entire service layer.
FullStack Developer at EnactOn Technologies
After introducing Fireworks AI's high-speed inference engine, I found that communication speed between agents was about twice as fast as before.
Ai스페셜리스트매니저 at a tech vendor with 501-1,000 employees
Fireworks AI's best aspect has been the inference performance and scalability, as Fireworks AI provides extremely fast response times for LLMs, which has improved the user experience for our AI applications.
ML Engineer at a energy/utilities company with 51-200 employees
Make has positively impacted my organization by enabling us to solve use cases for hundreds of clients across hundreds of different platforms, providing the customization capabilities to automate accounting and invoicing processes that save dozens of man-hours a month, and allowing us to build custom churn, retention, and engagement costs that have driven a 30% reduction in churn.
Network Engineer at AT&T
Instead of spending several days implementing and testing API integrations inside our FastAPI back end, I was able to build the workflows in a few hours using Make.
software engineer at a non-tech company with 1,001-5,000 employees
The task that I would complete in a span of one day is completed in a matter of minutes by using Make.
Executive at Core Jobs
 

Categories and Ranking

Fireworks AI
Ranking in AI Software Development
23rd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
5
Ranking in other categories
AI Development Platforms (12th), AI Finance & Accounting (6th), AI Research (7th)
Make
Ranking in AI Software Development
4th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
17
Ranking in other categories
Process Automation (6th)
 

Mindshare comparison

As of May 2026, in the AI Software Development category, the mindshare of Fireworks AI is 0.5%, up from 0.1% compared to the previous year. The mindshare of Make is 0.7%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Make0.7%
Fireworks AI0.5%
Other98.8%
AI Software Development
 

Featured Reviews

reviewer2818368 - PeerSpot reviewer
ML Engineer at a energy/utilities company with 51-200 employees
Centralized inference has boosted GPU efficiency and now powers faster AI products
Fireworks AI is an extremely strong tool in inference performance. However, initially, Fireworks AI's platform and tooling require some learning, especially for teams transitioning from traditional cloud infrastructure or self-hosted model serving. While Fireworks AI simplifies deployment significantly, understanding the settings and model configuration still requires some familiarity and a learning period. Another challenge I would address is broader integrations and workflow tooling around advanced fine-tuning pipelines, which would be a great addition to Fireworks AI. Fireworks AI's core platform is excellent, but some surrounding ecosystems are still evolving compared to more mature cloud platforms. While Fireworks AI supports open-source models very well, some custom-wise deployment might still require additional engineering work, which could have been better. Another pain point would be the pricing at scale. While Fireworks AI is excellent at the price point it offers, inference-heavy workloads with large-volume requests can become expensive over time, especially for teams starting out or for startups operating with a limited budget.
FA
Chief Executive Officer at Ashtex Solutions
Flexibility and efficiency accelerate business processes
Make needs to put some focus on or clarify the security aspect in its documentation or website. When creating automation through these modules between two different applications, there should be clarity about whether the data is secure while passing through these automations or integrations created within Make. The pricing of Make at this point is through operations consumption, and it becomes really expensive in certain scenarios when iterations are involved. The operation consumption is too high and sometimes becomes a burden on the client. Make needs to review its pricing strategy since they have tough competition from n8n. Make sometimes has issues with user logins and data saving when simultaneously working on two different PCs or when two developers are working on something or some blueprint. It can lose saved data from one interface to the other, and when logging on with the same user on another workstation, it occasionally misbehaves. We were unaware that Make had its own local implementation module. They need to advertise this feature more effectively as we are developing many projects in Make and working with various clients.
report
Use our free recommendation engine to learn which AI Software Development solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
University
13%
Computer Software Company
10%
Construction Company
8%
Comms Service Provider
8%
Outsourcing Company
15%
Educational Organization
10%
Non Tech Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise3
Large Enterprise1
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise1
Large Enterprise6
 

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.
What needs improvement with Fireworks AI?
When exploring the flexibility or ease of use of Fireworks AI, I find that it is too early to say, but I can say that it is easy to understand and integrates easily by following the given steps. Ba...
What is your primary use case for Fireworks AI?
My main use case for Fireworks AI is to build a chatbot and recommendation engine to recommend products to users of my application. Since I work in a QSR-based domain, I want to give recommendation...
What is your experience regarding pricing and costs for Make?
Earlier I used to spend too much time understanding the insights from my projects. Now I only spend four to five hours, but I can get everything in one hour or even 30 seconds. It's easy. After one...
What needs improvement with Make?
Sometimes the platform is too laggy and loads slowly. The credits are also getting used up too quickly, which takes too much credit. If the credits could be reduced, that would be more efficient. T...
What is your primary use case for Make?
I'm using Make for integration with GoHighLevel, which is a CRM tool. I integrate data from Google Sheets or the GHL CRM to automate repetitive tasks. I use Make nearly every day for whatever task ...
 

Comparisons

 

Also Known As

No data available
Integromat
 

Overview

 

Sample Customers

Information Not Available
Buan Consulting, Armadia
Find out what your peers are saying about Fireworks AI vs. Make and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.