Run Mistral Small 3.1
Ready in about 90 seconds. No install, no setup. From $0.45 per hour.
What it does
Mistral Small 3.1 is a 24 billion parameter model that answers about as well as models three times its size on everyday tasks, and does it much faster.
It reads images as well as text, so you can hand it a screenshot, a scanned form, or a photograph of a receipt and ask questions about it.
It is the right pick when you have thousands of small jobs rather than a few hard ones: classifying tickets, tagging products, summarizing reviews, pulling fields out of forms.
What you can ask it
Sort these 5,000 support tickets into billing, technical, and sales.
You get backReturns the original file with a category column added and a confidence score.
Here is a photo of a receipt. Give me the vendor, date, and total.
You get backReads the image directly and returns the three fields as structured data.
Write 300 product descriptions from this spreadsheet of specifications.
You get backOne description per row, in the tone you set with a single example.
Tag each of these 2,000 reviews as positive, negative, or mixed.
You get backReturns the tags plus the phrase that drove each decision.
Your setup
We run this on an RTX 4090. It fits comfortably in 24GB and writes at about 55 words per second. $0.45 per hour, billed by the minute.
Why this card?
At 24 billion parameters the 4-bit version is roughly 14GB, so it fits on a 24GB card with about 10GB left for the conversation and any images you send it. Moving up to a data center card would triple the hourly cost and gain very little, because this model is small enough that the RTX 4090 is not the bottleneck.
- Memory
- 24GB
- Speed
- about 24 seconds per thousand words
- Rate
- $0.45/hr
What will it cost you?
Billed by the minute on a RTX 4090 at $0.45 per hour. A batch job shuts the GPU off when the last thousand words is done, so this is the whole cost.
Two ways to run it
Click and use it
A chat window in your browser. Drag images straight into the conversation.
Get early access Best for exploring.Hand us the whole pile
The mode most people want here. Upload a spreadsheet, describe the task once, and collect the finished file.
Join the list Best for volume. The GPU shuts off automatically when it is done.Model facts
| Parameters | 24B |
|---|---|
| License | Apache 2.0 |
| Memory required | 16GB minimum (4-bit), 24GB recommended |
| Base model | Trained from scratch by Mistral AI |
| Publisher | Mistral AI |
| Recommended hardware | RTX 4090, 24GB |
| Hugging Face | mistralai/Mistral-Small-3.1-24B-Instruct-2503 |
Want Mistral Small 3.1 the day it opens?
We are testing the rental flow with a small group first. Leave an email and we will tell you when Mistral Small 3.1 is ready to run. One message, no newsletter.
Mistral Small 3.1 questions
Can I use Mistral Small 3.1 commercially?
Yes, without conditions. It is released under Apache 2.0, which is the most permissive license in common use. You can use it in a product you sell, modify it, and you do not have to credit anyone or publish your changes.
Do I need to install anything to use Mistral Small 3.1?
No. We start a machine with Mistral Small 3.1 already loaded and hand you a link. Everything runs in your browser, there is nothing to download, and nothing is left on your computer afterwards. It works the same on a Mac, a Windows laptop, or a Chromebook. A workspace is usually ready in about 90 seconds.
How much does it cost to run 200 thousand words written?
About $0.60. Mistral Small 3.1 takes about 24 seconds per thousand words on the RTX 4090 we recommend, so 200 thousand words written is roughly 80 minutes of GPU time at $0.45 per hour. Billing is by the minute, and a batch job shuts the GPU off the moment the last item finishes. The calculator above works this out for your own numbers.
Can I run Mistral Small 3.1 on a cheaper card?
Sometimes, and the calculator will not always make it look worth it. At 24 billion parameters the 4-bit version is roughly 14GB, so it fits on a 24GB card with about 10GB left for the conversation and any images you send it. Moving up to a data center card would triple the hourly cost and gain very little, because this model is small enough that the RTX 4090 is not the bottleneck. If you want to try a different card anyway, the advanced catalog lets you pick one and shows the estimated time before you commit.
What happens to my files after I stop?
Anything you save into your workspace folder stays in your account and is there when you come back. Everything else is destroyed: the machine is terminated and its disk is wiped. Batch job inputs and outputs are deleted from our storage 24 hours after you download them. We do not read your files or use them to train anything.
What if it fails partway through?
You are not charged for work that did not complete, and failed sessions are refunded automatically. Batch jobs write each output as it finishes rather than at the end, so a failure at item 380 of 400 leaves you 379 usable files and a message saying what broke. Restarting picks up where it stopped rather than redoing the work.
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