Z.ai

GLM 5.3 Flash

Z.ai model discovered on huggingface

Model Summary

Family

GLM

Version

5.3

Parameters

321.3B (est.)

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

VRAM Requirements by Quantization

Memory needed to serve GLM 5.3 Flash for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)179.54 GBNVIDIA B200 SXM (192 GB)
INT8 (8-bit)359.08 GBMulti-GPU required
FP16 (16-bit)718.16 GBMulti-GPU required
FP32 (32-bit)1436.32 GBMulti-GPU required

Recommended GPU Configurations

Cheapest on-demand configurations to serve GLM 5.3 Flash at 8-bit (359 GB VRAM).

3x AMD Instinct MI250X

384 GB total VRAM · CDNA 2

~$7.50/h

23x NVIDIA T4

368 GB total VRAM · Turing · multi-node

~$11.50/h

2x AMD Instinct MI300X

384 GB total VRAM · CDNA 3

~$12.00/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 GLM 5.3 Flash?

With an estimated 321.3B parameters, GLM 5.3 Flash needs roughly 359 GB of VRAM in 8-bit (INT8), 180 GB in 4-bit, and 718 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run GLM 5.3 Flash?

At 8-bit quantization, the most cost-effective option is 3x AMD Instinct MI250X (384 GB combined VRAM, around $7.50/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can GLM 5.3 Flash run on a single GPU?

Only with aggressive quantization: in 4-bit, a single NVIDIA B200 SXM (192 GB) can fit it. At 8-bit or higher, you need a multi-GPU setup.

How much does it cost to serve GLM 5.3 Flash in the cloud?

Renting 3x Instinct MI250X costs on the order of $7.50/hour, i.e. about $5,475/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.