How much RAM does GLM-5.3 need?

GLM-5.3 needs about 820 GB of memory at Q8_0 quantization with 4K context. The download itself is 801 GB; the extra covers the context cache and a runtime allowance.

Can I run GLM-5.3 on a laptop?

Not on typical consumer hardware. GLM-5.3 needs 820 GB, which is beyond a normal laptop or desktop.

GLM-5.3: hardware requirements

GLM-5.3 needs about 820 GB of memory at Q8_0 quantization: a 801 GB download plus room for context and a runtime allowance. That is beyond consumer hardware; use it through an API instead.

Parameters

753B

Tier

Server only

Licence

See model card

Released

2026-08-14

Will it run on your machine?

8GB RAMNot enough memory 16GB RAMNot enough memory 24GB RAMNot enough memory 32GB RAMNot enough memory 64GB RAMNot enough memory 128GB RAMNot enough memory 8GB VRAMNot enough memory 12GB VRAMNot enough memory 16GB VRAMNot enough memory 24GB VRAMNot enough memory 32GB VRAMNot enough memory

Use it without your own hardware

OpenRouter lists GLM 5.3 at $0.0699 per million input tokens and $1.40 per million output tokens. Artificial Analysis measured hosted providers generating 82 tokens per second (Oct 28, 2026).

Price as listed on OpenRouter today. Speed is for hosted servers, not a home computer.

Download sizes by quantization

Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?

Quant	Download	RAM @ 4K	RAM @ 32K	Source
Q8_0	801 GB	820 GB	930 GB	unsloth/GLM-5.3-GGUF
BF16	1508 GB	1527 GB	1637 GB	unsloth/GLM-5.3-GGUF

Download sizes are measured from the published files named in the Source column. The RAM columns add the context cache, calculated from the model's configuration, and a runtime allowance of 10% of the download (at least 0.5GB, at most 3GB).

Other sizes of GLM-5.3

GLM-5.3-Flash321B · 385 GB

Model card on HuggingFace →API specs & pricing →Verified 2026-10-28Listed for 120 days after release