Models›Mistral Small 24B
Mistral Small 24B
Mistral AI's efficient 24B model — strong instruction following and business task performance with a low memory footprint.
24B
parameters
16GB
minimum RAM
Overview
What makes Mistral Small 24B notable
Mistral Small 24B is designed for efficiency: it delivers strong chat and instruction-following performance at a 16GB memory footprint, making it one of the most capable models that fits on a Mac Mini 24GB with significant headroom left over.
Mistral AI has a reputation for optimizing their models aggressively, and Small 24B reflects that. It handles summarization, question answering, and structured business tasks — email drafting, meeting notes, policy review — with a clean, focused output style.
For setups where speed and efficiency matter as much as raw quality — or where you want a capable model running simultaneously with other applications — Mistral Small 24B is a pragmatic choice that punches above its RAM requirements.
Best use cases
What it excels at
- ✓Email drafting and professional communication
- ✓Meeting notes and agenda summarization
- ✓Business policy and document review
- ✓Customer service draft responses
- ✓Quick Q&A and information lookup
- ✓Running alongside other applications with minimal RAM impact
Compatibility
Hardware requirements
| Mac model | RAM | Performance | Notes |
|---|---|---|---|
| Mac Mini M4 Pro | 24GB | Great | Q6/Q8 quantization — high quality output |
| Mac Mini M4 Pro | 48GB | Excellent | Q8 quantization — maximum quality |
| Mac Studio M4 Max | 128GB | Optimal | Q8 quantization — blazing fast, full quality |
| Mac Studio M3 Ultra | 192GB+ | Optimal | Q8 full precision — run multiple models simultaneously |
Speed
Approximate tokens/second
Use case fit
Quality ratings
Cost comparison
Without local AI, the equivalent capability costs:
Cloud equivalent
Mistral Medium / GPT-4o-mini
~$100/moper month
Local with Maai Machines
Mistral Small 24B
$0per month
~$10/month electricity. One-time setup.
Run Mistral Small 24B on your own hardware.
Book a consultation. We'll configure this model — and the rest of your stack — in one day.