How much memory does GLM-5.3-Flash need?

About 183 GB at 4-bit, 343 GB at 8-bit and 645 GB at full 16-bit precision, including an 8,192-token KV cache and about 1.5 GB of runtime overhead. These are estimates from its parameter count.

Can GLM-5.3-Flash run on a 24 GB graphics card?

Not entirely: even at 4-bit it needs about 183 GB, so part of it would sit in system memory, which is much slower.

Is GLM-5.3-Flash free for commercial use?

Its card lists MIT, which allows commercial use, modification and redistribution as long as the copyright notice is kept. Read the licence itself before relying on this summary; it is not legal advice.

What is GLM-5.3-Flash’s context window?

Its configuration sets 1,048,576 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.

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ANVE

Run it on your own hardware · updated 2026-10-16

GLM-5.3-Flash
Memory at each precision, the licence in plain words, and where it fits.

Short answer. GLM-5.3-Flash needs about 183 GB of memory at 4-bit, 343 GB at 8-bit and 645 GB at full 16-bit precision, including runtime overhead and an 8,192-token KV cache. It has about 321.3 billion parameters and a 1,048,576-token context window. Licence in short: commercial use allowed. By memory alone, on ANVE’s launch configurations: ANVE One does not fit, ANVE Office does not fit, ANVE Office Pro (GPU) does not fit. These are estimates from its published size, not benchmarks.

What it is

GLM-5.3-Flash is a vision-language model: it reads images (scanned pages, photos, charts and screenshots) as well as text, published by Z.ai (Zhipu) on Hugging Face on 25 August 2026. It has about 321.3 billion parameters and a configured context window of 1,048,576 tokens. It is a mixture-of-experts model: 288 experts, 8 used for each token.

Its card lists the licence as MIT. In short, the licence allows commercial use, modification and redistribution as long as the copyright notice is kept.

Hugging Face counted about 6,160,780 downloads of it in the 30 days before we checked (7 Oct 2026), and 2,737 people have liked it there.

The card lists 2 languages: en, zh (ISO codes as given on the card).

How much memory it needs

We size it the way you would size any model: the weights (parameters × bits ÷ 8), the KV cache for 8,192 tokens of context, and roughly 1.5 GB for the runtime itself. Real use varies with settings.

Each token of context adds about 0.05 MB of KV cache at 16-bit, so 32,768 tokens would add about 1.5 GB. This model uses multi-head latent attention, which stores a compressed cache.

Precision	Weights	KV cache (8,192 tokens)	Total, estimated
BF16 (full precision)	643 GB	0.38 GB	645 GB
8-bit (Q8_0)	341 GB	0.38 GB	343 GB
4-bit (Q4_K)	181 GB	0.38 GB	183 GB

Architecture at a glance

Setting	Value in config.json
Architecture class	Glm5NextForConditionalGeneration
Model type	glm5_next
Layers	45
Hidden size	4,096
Attention heads	64
Key-value heads	64
Head size	64
Vocabulary	154,880
Experts	288, 8 active per token
Configured context	1,048,576
Stored precision	bfloat16

Will it fit on ANVE?

Arithmetic against the launch specification, not a test: about three quarters of ANVE One’s 64 GB of unified memory for the model (as AMD’s Variable Graphics Memory allows), and the 24 GB on the graphics card in ANVE Office and ANVE Office Pro, which keep the rest of the stack in 64 GB and 128 GB of system memory. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.

Configuration (at launch)	Memory for the model	Verdict
ANVE One	about 48 GB of 64 GB unified memory	does not fit
ANVE Office	24 GB on the RTX PRO 4000 Blackwell SFF Edition	does not fit
ANVE Office Pro (GPU)	24 GB on the RTX PRO 4000 Blackwell	does not fit

What an office would use it for

This is frontier-scale: even at 4-bit it needs far more memory than any single office box, so it belongs on a multi-GPU server or a cloud service, not on an appliance.

Variants with the same size

GLM-5.3-Flash: a faster variant that trades some quality for speed (same parameter count, so the memory figures above apply).

Similar models to compare

Qwen3.5-397B-A17B (403.4B parameters, about 228 GB at 4-bit before context; commercial use allowed)
MiniMax-M3 (427.0B parameters, about 242 GB at 4-bit before context; custom licence: check before commercial use)
MiniMax-VL-01 (456.4B parameters, about 258 GB at 4-bit before context; licence not stated)

Questions people ask

How much memory does GLM-5.3-Flash need?: About 183 GB at 4-bit, 343 GB at 8-bit and 645 GB at full 16-bit precision, including an 8,192-token KV cache and about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can GLM-5.3-Flash run on a 24 GB graphics card?: Not entirely: even at 4-bit it needs about 183 GB, so part of it would sit in system memory, which is much slower.
Is GLM-5.3-Flash free for commercial use?: Its card lists MIT, which allows commercial use, modification and redistribution as long as the copyright notice is kept. Read the licence itself before relying on this summary; it is not legal advice.
What is GLM-5.3-Flash’s context window?: Its configuration sets 1,048,576 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.

What is not real yet

No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.

Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.

GLM-5.3-FlashMemory at each precision, the licence in plain words, and where it fits.