Mistral AI

Mistral Small 4 (24B)

Efficient model delivering strong quality at lower latency

Model Summary

Family

Mistral

Version

4.0

Parameters

24B (est.)

Parameter counts for closed models are estimates; vendors rarely publish exact sizes.

VRAM Requirements by Quantization

Memory needed to serve Mistral Small 4 (24B) for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)13.41 GBNVIDIA P100 SXM2 (16 GB)
INT8 (8-bit)26.82 GBNVIDIA V100 SXM2 32GB (32 GB)
FP16 (16-bit)53.64 GBNVIDIA H100 SXM5 (80 GB)
FP32 (32-bit)107.29 GBAMD Instinct MI250X (128 GB)

Recommended GPU Configurations

Cheapest on-demand configurations to serve Mistral Small 4 (24B) at 8-bit (27 GB VRAM).

2x NVIDIA T4

32 GB total VRAM · Turing

~$1.00/h

2x NVIDIA P100 SXM2

32 GB total VRAM · Pascal

~$1.20/h

1x NVIDIA A40

48 GB total VRAM · Ampere

~$1.80/h

Quick GPU Planning

Use the calculator pre-filled with this exact version to estimate memory, speed, and compute requirements in a few clicks.

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Frequently Asked Questions

How much VRAM do you need to run Mistral Small 4 (24B)?

With an estimated 24B parameters, Mistral Small 4 (24B) needs roughly 27 GB of VRAM in 8-bit (INT8), 13 GB in 4-bit, and 54 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run Mistral Small 4 (24B)?

At 8-bit quantization, the most cost-effective option is 2x NVIDIA T4 (32 GB combined VRAM, around $1.00/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can Mistral Small 4 (24B) run on a single GPU?

Yes. In 8-bit, a single NVIDIA V100 SXM2 32GB (32 GB) fits the model.

How much does it cost to serve Mistral Small 4 (24B) in the cloud?

Renting 2x T4 costs on the order of $1.00/hour, i.e. about $730/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.