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 L40S (48 GB)
INT8 (8-bit)26.82 GBNVIDIA L40S (48 GB)
FP16 (16-bit)53.64 GBNVIDIA H100 SXM5 (80 GB)
FP32 (32-bit)107.29 GBNVIDIA H200 SXM5 (141 GB)

Recommended GPU Configurations

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

1x NVIDIA L40S

48 GB total VRAM · Ada Lovelace

~$3.50/h

1x NVIDIA A100 80GB

80 GB total VRAM · Ampere

~$4.50/h

1x AMD Instinct MI300X

192 GB total VRAM · CDNA 3

~$6.00/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 1x NVIDIA L40S (48 GB combined VRAM, around $3.50/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 L40S (48 GB) fits the model.

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

Renting 1x L40S costs on the order of $3.50/hour, i.e. about $2,555/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.