GLM-5.2-FP8 vs DeepSeek-V3.2-AWQ
Specs, VRAM requirements and download trends — updated 14 August 2026.
QuantTrio · B · Open weights
Params
685.4 B
Context
163,840
30d
168 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | GLM-5.2-FP8 | DeepSeek-V3.2-AWQ |
|---|---|---|
| Parameters | 753.3 B | 685.4 B |
| Architecture | GlmMoeDsaForCausalLM | DeepseekV32ForCausalLM |
| Context length | 1,048,576 | 163,840 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 2 | — |
| Downloads 30d | 132,226 | 167,983 |
| Downloads all time | 6.7 M | 1.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-06-16 | 2025-12-03 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.0 M132 K
GLM-5.2-FP8
DeepSeek-V3.2-AWQ
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3.2-AWQ · fp16 @ 160K ctx
2,454.7 GB / 24 GB
GLM-5.2-FP8 · fp16 @ 1024K ctx
15,295.6 GB / 24 GB