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Cerebras Fast Inference Cloud vs ChatGPT Team - Enterprise 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

Cerebras Fast Inference Cloud
Ranking in Large Language Models (LLMs)
9th
Average Rating
10.0
Reviews Sentiment
1.9
Number of Reviews
3
Ranking in other categories
No ranking in other categories
ChatGPT Team - Enterprise
Ranking in Large Language Models (LLMs)
2nd
Average Rating
8.6
Reviews Sentiment
4.6
Number of Reviews
12
Ranking in other categories
AI Writing Tools (2nd), AI Code Assistants (6th), AI Proofreading Tools (2nd)
 

Featured Reviews

reviewer2787606 - PeerSpot reviewer
Co-founder at a tech services company with 1-10 employees
Fast inference has enabled ultra-low-latency coding agents and continues to improve
I use the product for the fastest LLM inference for LLama 3.1 70B and GLM 4.6 We use it to speed up our coding agent on specific tasks. For anything that is latency-sensitive, having a fast model helps. The valuable features of the product are its inference speed and latency. There is room for…
RodrigoBassani - PeerSpot reviewer
Diretor at Hat Thinking
Efficiently manages projects and daily tasks with personalized interaction
Some areas that could be improved with ChatGPT include the information they provide, as sometimes they hallucinate something that's not real. Sometimes they comment positively without being asked, and I have questioned ChatGPT that I don't want the prompt to agree with me but rather to challenge me. If I provide a slide and ask to compare it to McKinsey or other big companies and scale it from zero to 10, they might say it's an eight and suggest improvements to reach nine or ten. However, these evaluations aren't always realistic because if you're not a specialist on the subject, you might create something that's not accurate. This becomes problematic because we are working with real clients, not experiments. When working on real cases, I have to be the one to validate that the information is accurate. Sometimes they provide information that isn't real. You have to be the gate to validate that this information is correct before proceeding. For simpler tasks adjusting communication style or making text more formal, they perform perfectly. However, for complex cases, I don't use ChatGPT as the source of truth because it's not always accurate. If you delegate it to make decisions in your place, it could create significant problems to solve.

Quotes from Members

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

Pros

"I recommend using it for speed and having a good fallback plan in case there are issues, but that's easy to do."
"Cerebras' token speed rates are unmatched, which can enable us to provide much faster customer experiences."
"The throughput increase has extended decision-making time by over 50 times compared to previous pipelines when accounting for burst parallelism."
"Without ChatGPT Team - Enterprise, I wouldn't have been able to do a tenth of what I do currently."
"The best features of ChatGPT include having a lot of information integrated, and it is quick to learn how to prompt the questions and to integrate text in documents to get a faster review or create a report."
"Rockset is very fast, and you can query just like in MySQL."
"ChatGPT has positively impacted our organization by speeding up a lot of our processing time."
"It is pretty valuable that we can set up prompts to define the context for conversations with ChatGPT Team - Enterprise, which enables it to stay the course during responses."
"It provides details that previously took days or weeks to gather, and I can improve and get more insight on subjects with more accuracy."
"ChatGPT Team - Enterprise makes my life very easy because every time I have to look up something on Google, I have to search through multiple results, but ChatGPT Team - Enterprise provides information in a simpler view with the easiest format and in quite literally the simplest sentences."
"The initial setup was very simple."
 

Cons

"There is room for improvement in the integration within AWS Bedrock."
"There is room for improvement in supporting more models and the ability to provide our own models on the chips as well."
"For complex cases, I don't use ChatGPT as the source of truth. You need the expertise to validate if what the prompt produces is correct."
"The information base of ChatGPT has to grow because, in some cases, it does not include information about my city."
"Rockset is now bought by OpenAI. It’s uncertain if Rockset will continue to exist as it is."
"The pricing is on the heavier side for the Nigerian market."
"If you ask it the same question twice, it gives you a slightly different answer, which even a human being does unless it memorizes something."
"I would not recommend ChatGPT as a standalone product. I think it could be beneficial when used alongside other tools, but as a standalone solution, its accuracy cannot be entirely trusted."
"Filtering the database based on indexes is difficult in Rockset and should be simplified."
"There are issues of cost and viability, with various concerns around these aspects, but that would be a great enhancement for us."
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for Cerebras Fast Inference Cloud?
They are more expensive, but if you need speed, then it is the only option right now.
What is your primary use case for Cerebras Fast Inference Cloud?
I use the product for the fastest LLM inference for LLama 3.1 70B and GLM 4.6.
What advice do you have for others considering Cerebras Fast Inference Cloud?
Their support has been helpful, and I've had a few outages with them in the past, but they were resolved quickly. I recommend using it for speed and having a good fallback plan in case there are is...
What needs improvement with ChatGPT?
One area where ChatGPT Team - Enterprise can be improved is hallucinations. They have gotten slightly better, but sometimes it provides information that is either not relevant or made up. There is ...
What is your primary use case for ChatGPT?
As the Head of Marketing, my main use case for ChatGPT Team - Enterprise is for everything I do for marketing, whether that's writing emails, social posts, landing page copy, ideas for events, or s...
What advice do you have for others considering ChatGPT?
My advice for others looking into using ChatGPT Team - Enterprise is to do it. In my personal opinion, every marketer, sales, or corporate job should be using ChatGPT in every aspect of their life ...
 

Also Known As

No data available
Rockset
 

Overview

 

Sample Customers

Information Not Available
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Find out what your peers are saying about Cerebras Fast Inference Cloud vs. ChatGPT Team - Enterprise and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.