Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~6.6 GB of headroom running GLM-5 9B at Q4_K_M (5.43375 GB, ~66 tok/s (est.)) with room for up to 32K context.
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
| Quant | VRAM needed | Fits 12 GB? | Max context |
|---|---|---|---|
| F16 | 19.4 GB | ✗ No | — |
| Q8_0 | 11 GB | ✓ Yes | 8K |
| Q6_K | 8.8 GB | ✓ Yes | 16K |
| Q5_K_M | 7.8 GB | ✓ Yes | 16K |
| Q4_K_M | 6.8 GB | ✓ Yes | 32K |
| Q3_K_M | 5.2 GB | ✓ Yes | 32K |
| Q2_K | 4.4 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GLM-5 9B | Q4_K_M · 5.43375 GB · ~66 tok/s (est.) |
At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 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 ~6.6 GB of headroom running GLM-5 9B at Q4_K_M (5.43375 GB, ~66 tok/s (est.)) with room for up to 32K context.
GLM-5 9B at Q4_K_M quantization (5.43375 GB), estimated ~66 tokens/sec, up to 32K context.
← Can I Run It? | GLM-5 / GLM-5.1 Model Page | NVIDIA GeForce RTX 4070 GPU Page | Check Your Hardware