Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~12.7 GB of headroom running GLM-5 32B at Q4_K_M (19.32 GB, ~64 tok/s (est.)) with room for up to 32K context.
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context |
|---|---|---|---|
| F16 | 65.7 GB | ✗ No | — |
| Q8_0 | 35.7 GB | ✗ No | — |
| Q6_K | 28 GB | ✓ Yes | 16K |
| Q5_K_M | 24.4 GB | ✓ Yes | 32K |
| Q4_K_M | 21 GB | ✓ Yes | 32K |
| Q3_K_M | 15.4 GB | ✓ Yes | 64K |
| Q2_K | 12.2 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GLM-5 32B | Q4_K_M · 19.32 GB · ~64 tok/s (est.) |
| GLM-5 9B | Q4_K_M · 5.43375 GB · ~161 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~12.7 GB of headroom running GLM-5 32B at Q4_K_M (19.32 GB, ~64 tok/s (est.)) with room for up to 32K context.
GLM-5 32B at Q4_K_M quantization (19.32 GB), estimated ~64 tokens/sec, up to 32K context.
← Can I Run It? | GLM-5 / GLM-5.1 Model Page | NVIDIA GeForce RTX 5090 GPU Page | Check Your Hardware