Advisor / Models / GLM-4.5-Air

GLM-4.5-Air: VRAM requirements & speed

GLM-4.5-Air (110.47B MoE, 12B active, mit). Native context 128k. Smallest GGUF: 72.98 GB.

72.98 GBsmallest quant file
8hardware pages that fit it fully
1run with offload
1measured data points

Memory needed by quantization and context

GGUF file size plus f16 KV cache (and fixed overhead of ~1 GB per GPU not shown). Source: unsloth/GLM-4.5-Air-GGUF.

QuantFile+8k ctx+32k ctx+128k ctx
Q4_K_M72.98 GB74.5 GB79.2 GB97.7 GB
Q5_K_M83.52 GB85.1 GB89.7 GB108.2 GB
Q6_K99.01 GB100.6 GB105.2 GB123.7 GB
Q8_0117.46 GB119.0 GB123.6 GB142.2 GB

KV cache size by context length

Computed from the model's attention layout.

Contextf16q8_0q4_0
8k1.54 GB0.82 GB0.43 GB
32k6.17 GB3.28 GB1.74 GB
128k24.70 GB13.12 GB6.95 GB

Which hardware runs GLM-4.5-Air? · 16k context

HardwareQuantFitMemoryTok/sSpeed source
RTX PRO 6000 96GB (bonus page)Q5_K_Mfits fully86.6 GB95estimated
Mac Studio M5 Ultra 256GBQ8_0fits fully120.5 GB47estimated
Mac Studio M5 Ultra 512GB (ships late Oct 2026)Q8_0fits fully120.5 GB47estimated
Mac Studio M5 Max 128GBQ5_K_Mfits fully86.6 GB41estimated
MacBook Pro 14/16 M5 Max 128GBQ5_K_Mfits fully86.6 GB41estimated
MacBook Pro 14/16 (2024) M4 Max 128GBQ5_K_Mfits fully86.6 GB22estimated
NVIDIA DGX Spark 128GBQ4_K_Mfits fully76.1 GB17scaled from measured
AMD Ryzen AI Max+ 395 (Strix Halo) 128GBQ6_Kfits fully102.1 GB16scaled from measured
2x RTX 3090 (48GB total)Q4_K_MMoE offload to CPU76.1 GB14estimated
RTX 3090 24GB-does not fit--
RTX 4090 24GB-does not fit--
RTX 5090 32GB-does not fit--
RTX 3060 12GB (32GB RAM)-does not fit--
8GB VRAM class (RTX 4060 8GB, 32GB RAM)-does not fit--
16GB VRAM class (RTX 4060 Ti 16GB, 32GB RAM)-does not fit--
RTX 5070 12GB-does not fit--
RTX 4070 12GB-does not fit--
RTX 5070 Ti 16GB-does not fit--
RTX 5080 16GB-does not fit--
AMD RX 7900 XTX 24GB-does not fit--
Mac Studio (2025) M3 Ultra 96GB-does not fit--
Mac mini / iMac M4 16GB-does not fit--
Mac mini (2024) M4 Pro 64GB-does not fit--
MacBook Pro 14/16 M5 Pro 48GB-does not fit--
Mac mini M6 32GB-does not fit--
MacBook Air M5 32GB-does not fit--

Discrete GPUs are modelled with 32 GB of system RAM available for offload. Does not fit even with offload: RTX 3090 24GB, RTX 4090 24GB, RTX 5090 32GB, RTX 3060 12GB (32GB RAM), 8GB VRAM class (RTX 4060 8GB, 32GB RAM), 16GB VRAM class (RTX 4060 Ti 16GB, 32GB RAM), RTX 5070 12GB, RTX 4070 12GB, RTX 5070 Ti 16GB, RTX 5080 16GB, AMD RX 7900 XTX 24GB, Mac Studio (2025) M3 Ultra 96GB, Mac mini / iMac M4 16GB, Mac mini (2024) M4 Pro 64GB, MacBook Pro 14/16 M5 Pro 48GB, Mac mini M6 32GB, MacBook Air M5 32GB.

Links

Model card · GGUF files · Open in the advisor · last verified 2026-10-14

FAQ

How much VRAM does GLM-4.5-Air need?

The smallest quant (Q4_K_M) is 72.98 GB, so you need roughly 76 GB for an 8k context including KV cache and overhead. At 128k context the f16 KV cache alone is 24.7 GB.

Can I run GLM-4.5-Air on a RTX PRO 6000 96GB (bonus page)?

Yes: on RTX PRO 6000 96GB (bonus page) it fits fully as Q5_K_M at about 95 tok/s (estimated). 8 of 26 hardware configurations fit it fully at 16k context.

What is the maximum context for GLM-4.5-Air?

128k tokens natively. Memory, not the model, is usually the limit: see the KV cache table above.

All models: model index · by memory: 8 GB · 12 GB · 16 GB · 24 GB · 32 GB · 48 GB · 64 GB · 96 GB · 128 GB · 192 GB · 256 GB · 512 GB. Numbers use the same fit math as the advisor; sources and methods.