Mistral AI

Mistral Large 4 1T A52B

Mistral AI model discovered on huggingface

Model Summary

Family

Mistral

Version

4

Parameters

1000B (est.)

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

VRAM Requirements by Quantization

Memory needed to serve Mistral Large 4 1T A52B for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)558.79 GBMulti-GPU required
INT8 (8-bit)1117.59 GBMulti-GPU required
FP16 (16-bit)2235.17 GBMulti-GPU required
FP32 (32-bit)4470.35 GBMulti-GPU required

Recommended GPU Configurations

Cheapest on-demand configurations to serve Mistral Large 4 1T A52B at 8-bit (1118 GB VRAM).

9x AMD Instinct MI250X

1152 GB total VRAM · CDNA 2 · multi-node

~$22.50/h

70x NVIDIA T4

1120 GB total VRAM · Turing · multi-node

~$35.00/h

6x AMD Instinct MI300X

1152 GB total VRAM · CDNA 3

~$36.00/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 Large 4 1T A52B?

With an estimated 1000B parameters, Mistral Large 4 1T A52B needs roughly 1118 GB of VRAM in 8-bit (INT8), 559 GB in 4-bit, and 2235 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run Mistral Large 4 1T A52B?

At 8-bit quantization, the most cost-effective option is 9x AMD Instinct MI250X (1152 GB combined VRAM, around $22.50/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can Mistral Large 4 1T A52B run on a single GPU?

No. Even in 4-bit, Mistral Large 4 1T A52B exceeds the memory of any single current GPU, so a multi-GPU cluster is required.

How much does it cost to serve Mistral Large 4 1T A52B in the cloud?

Renting 9x Instinct MI250X costs on the order of $22.50/hour, i.e. about $16,425/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.