GLM-5-FP8 vs DeepSeek-V3.2

Specs, VRAM requirements and download trends — updated 17 September 2026.

zai-org · A
Params
753.9 B
Context
202,752
30d
203 K
mit · commercial OK
deepseek-ai · B
Params
685.4 B
Context
163,840
30d
2.5 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification GLM-5-FP8 DeepSeek-V3.2
Parameters 753.9 B 685.4 B
Architecture GlmMoeDsaForCausalLM DeepseekV32ForCausalLM
Context length 202,752 163,840
Licence mit mit
Commercial use Allowed Allowed
Languages 2
Downloads 30d 202,976 2,488,767
Downloads all time 13.0 M 24.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-02-11 2025-12-01

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

2.5 M203 K
GLM-5-FP8 DeepSeek-V3.2

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

DeepSeek-V3.2 · fp16 @ 160K ctx 2,815.1 GB / 24 GB
❌ Won’t fit
GLM-5-FP8 · fp16 @ 198K ctx 3,631.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons