Deploy Magistral 24B
Text & ChatMagistral is a 24B reasoning model from Mistral AI. It can help draft analyses and summarize documents; its outputs require review, especially for legal, financial or compliance work.
Set up a Magistral 24B workspace
Starting at $0.72/hr on dedicated GPU
Specifications
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
Magistral 24B 24B (Reasoning) | RTX A6000 | 48 GB | $0.72/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
The listed configuration specifies a 48GB cloud GPU. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.72/hr. Review the template’s required setup steps and settings before launch.
Use Cases
- Legal document analysis
- Financial report review
- Compliance and regulatory research
- Contract summarization
Related Models
Frequently Asked Questions
How much GPU memory is allocated for Magistral 24B?
The listed ModelPilot deployment uses a 48GB cloud GPU. Local memory needs can vary with precision, quantization, and workflow settings.
How much does it cost to run Magistral 24B?
Starting at $0.72/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does Magistral 24B take to deploy?
Startup time depends on model downloads, container setup, cached files and GPU availability. Review the estimate for your selected template; it is not a guaranteed time to a finished result. Dedicated GPU time is billed while allocated, including startup.
Can I run Magistral 24B on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy Magistral 24B?
Choose a GPU, review the estimated rate, and check the template’s setup requirements before launching.