GLM-5-FP8 vs DeepSeek-V3.2-AWQ
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | GLM-5-FP8 | DeepSeek-V3.2-AWQ |
|---|---|---|
| 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 | 1,151,402 | 167,983 |
| Downloads all time | 12.2 M | 1.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-02-11 | 2025-12-03 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
1.3 M168 K
GLM-5-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-FP8 · fp16 @ 198K ctx
3,631.2 GB / 24 GB