Can RTX 4060 8GB run GLM-4.5-Air?

NVIDIA · 8 GB GDDR6 · 272 GB/s bandwidth · Z.ai · 110.5B (active 12B) · MoE · model ctx up to 128K

No — GLM-4.5-Air at Q4 needs ≈ 62.98 GB even at 4K context, beyond the RTX 4060 8GB's 8 GB GDDR6. It would only run with heavy CPU/disk offload. FP16 needs ≈ 224.4 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	62.98 GB	No	—
Q4	8K default	64.18 GB	No	—
Q4	32K	71.38 GB	No	—
FP16	4K	223.2 GB	No	—
FP16	8K default	224.4 GB	No	—
FP16	32K	231.6 GB	No	—

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	RTX 4060 8GB VRAM
Q4	60.78 GB	2.4 GB	1 GB	64.18 GB	8 GB
FP16	221.0 GB	2.4 GB	1 GB	224.4 GB	8 GB

Other GPUs that run GLM-4.5-Air

• B200 192GB SXM — ≈424.2 tok/s Q4 est.
• MI300X 192GB — ≈281.1 tok/s Q4 est.
• H200 141GB SXM5 — ≈254.5 tok/s Q4 est.
• H100 80GB SXM5 — ≈177.7 tok/s Q4 est.
• Gaudi 3 128GB — ≈173.7 tok/s Q4 est.
• A100 80GB SXM4 — ≈108.1 tok/s Q4 est.
• Mac Studio M3 Ultra 96GB — ≈43.4 tok/s Q4 est.
• Mac Studio M2 Ultra 192GB — ≈42.4 tok/s Q4 est.

All GPUs for GLM-4.5-Air →

Other models for the RTX 4060 8GB

• Qwen3-0.6B — ≈216.4 tok/s Q4 est.
• gemma-3-1b-it — ≈173.1 tok/s Q4 est.
• Llama-3.2-1B-Instruct — ≈144.2 tok/s Q4 est.
• Qwen3-1.7B — ≈86.5 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈54.1 tok/s Q4 est.
• Phi-4-mini-instruct — ≈45.6 tok/s Q4 est.
• Phi-4-mini-reasoning — ≈45.6 tok/s Q4 est.
• gemma-3-4b-it — ≈44.4 tok/s Q4 est.

All models on the RTX 4060 8GB →