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Reviews from AWS customer

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    Collins-Omondi

Chat sentiment analysis has supported hobby projects but pricing and setup still need improvement

  • March 30, 2026
  • Review from a verified AWS customer

What is our primary use case?

I implemented it myself in my bot, defining what is acceptable based on how people chat and what they might mean when they say certain things. I never actually used that feature for Cohere Command R.

The dataset I am using is just the chat, the user chat, and it is not that big. It is just a few months, and I always clear the chats after a few months. So it is just normal content, nothing extraordinary; I do not think it can be quantified as big data.

What is most valuable?

Cohere Command R works for what I need. I know there are many other models and many other free models. I have tried CodeGemma, but it is not for what I was trying to do; it is more about coding. I wanted something interactive, focusing on the language side of it, not the coding side.

Personally, compared to other models, Cohere Command R is pretty easy to set up and good for what I need as of now.

Deploying this solution is pretty similar to working with any other model for me. I cannot really say much about complexities, but I am a bit technical, so the process is quite the same.

What needs improvement?

Honestly, I have never needed technical support, but I think if you could improve on that, it would be acceptable. I do not know about the pricing; for me, it is kind of too much. Of course, I am using the free models, but if I could get the newer models, I think they are interesting.

I know we are talking about Cohere Command R for now, but I think there are some other models that I have seen some interest in, like Embed 4. If the pricing could be adjusted, that would be better because the pricing is kind of high.

Of course, it matters; for organizations, it is acceptable, but for personal use like mine, it is just a hobby project. Spending that much money on something that you do not earn from is not ideal. So for people testing or using it for hobby projects, I think you could reduce the pricing a bit. But for now, I am using Cohere Command R for free.

For how long have I used the solution?

I have been using it occasionally for around two to three years.

How are customer service and support?

I have never interacted with the support team and do not know anyone who has, so I rate it five. I am not saying it is bad; I just have never tried it before, and I do not want to give it a lower score. So I will say five because I hope it is good.

How was the initial setup?

It takes a few hours, a lot of hours, to deploy Cohere Command R. Not days, but just a lot of hours debugging and dealing with issues when mostly it was on the AWS side, like exposing the API and the static routes. It was just the AWS side of it that took a lot of time, but the model itself was not that complicated.

What's my experience with pricing, setup cost, and licensing?

I did not purchase it from Cohere; I think it was free by the time I was working with it. I am not sure. It was a while ago when I started using it, but I do not know if the pricing has changed. I did not pay for it back then.

What other advice do I have?

I am still using Cohere and maybe Cloudinary.

I work with Cohere Command R occasionally, but not so much.

I am familiar with Cohere Command R, and I just use it as a model. It is pretty similar to the others that I use, so I cannot really say anything specific about it.

I do not use it every time, just occasionally.

I never tried real-time analysis; I never needed to.

I would rate this review a 7.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)


    reviewer2785584

Fast retrieval has improved our genAI latency and supports timely project delivery

  • December 09, 2025
  • Review provided by PeerSpot

What is our primary use case?

My main use case for Cohere Command R is for a GenAI application. For the RAG project, we are using Cohere Command R for the retrieval process.

What is most valuable?

The best feature Cohere Command R offers is the latency. What stands out to me about the latency is that it is faster than other solutions I have tried. Regarding the positive impact, it has improved the latency and our time to delivery.

What needs improvement?

I do not know how Cohere Command R can be improved. I do not have anything at all I would like to see improved, even if it is something small.

For how long have I used the solution?

I have been using Cohere Command R for three years.

What do I think about the stability of the solution?

Cohere Command R is stable.

What do I think about the scalability of the solution?

Cohere Command R's scalability is good enough.

How are customer service and support?

The customer support for Cohere Command R is good.

Which solution did I use previously and why did I switch?

I did not previously use a different solution before Cohere Command R.

What was our ROI?

I have not seen a return on investment and cannot share any relevant metrics.

What's my experience with pricing, setup cost, and licensing?

My experience with pricing, setup cost, and licensing is that it is good.

Which other solutions did I evaluate?

Before choosing Cohere Command R, I did not evaluate other options. I cannot share which other options I evaluated before choosing Cohere Command R because there were no other options.

What other advice do I have?

I do not have anything else to add about how I use Cohere Command R in my projects. I do not know how Cohere Command R has impacted my organization positively.

My advice to others looking into using Cohere Command R is to try it. I would recommend trying the product. I am giving this review a rating of 9.


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