CanItRun Logocanitrun.

GLM-4.6V 106B

GLM-4.6V 106B needs roughly 61.1GB VRAM at Q4_K_M quantization (239.2GB at FP16). 29 GPUs we track can run it fully in VRAM at 8k context.

Z.ai106B params12B active (MoE)128k contextMITCommercial use ok

VRAM at each quantization

Assumes 8k context. KV cache grows linearly with context length.

QuantWeightsKV cacheTotal
FP16212.0 GB1.54 GB239.2 GB
Q8106.0 GB1.54 GB120.5 GB
Q6_K79.5 GB1.54 GB90.8 GB
Q5_K_M66.3 GB1.54 GB75.9 GB
Q4_K_M53.0 GB1.54 GB61.1 GB
Q3_K_M42.4 GB1.54 GB49.2 GB
Q2_K31.8 GB1.54 GB37.3 GB

Benchmarks

Benchmarks for this model are not yet available on the Open LLM Leaderboard v2. This is common for recently released models. Check back soon.

GPUs that run GLM-4.6V 106B natively (29)

Plus 13 GPUs that run it with CPU offload (slower)

Notes

Multimodal vision-language variant of GLM-4.6 Air — supports image and video inputs.

Hugging Face ↗Released 2025-09-30