Can RTX 4060 Ti 8GB run GLM-5.2?

NVIDIA · 8 GB GDDR6 · 288 GB/s bandwidth · Z.ai · 753.3B (active 40B) · MoE · model ctx up to 1000K

No — GLM-5.2 at Q4 needs ≈ 419.31 GB even at 4K context, beyond the RTX 4060 Ti 8GB's 8 GB GDDR6. It would only run with heavy CPU/disk offload. FP16 needs ≈ 1515.6 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	419.31 GB	No	—
Q4	8K default	423.31 GB	No	—
Q4	32K	447.31 GB	No	—
FP16	4K	1511.6 GB	No	—
FP16	8K default	1515.6 GB	No	—
FP16	32K	1539.6 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 Ti 8GB VRAM
Q4	414.31 GB	8.0 GB	1 GB	423.31 GB	8 GB
FP16	1506.6 GB	8.0 GB	1 GB	1515.6 GB	8 GB

Other GPUs that run GLM-5.2

No catalog GPU fully fits GLM-5.2 at Q4/8K — see the model page for offload estimates.

All GPUs for GLM-5.2 →

Other models for the RTX 4060 Ti 8GB

• Qwen3-0.6B — ≈229.1 tok/s Q4 est.
• gemma-3-1b-it — ≈183.3 tok/s Q4 est.
• Llama-3.2-1B-Instruct — ≈152.7 tok/s Q4 est.
• Qwen3-1.7B — ≈91.6 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈57.3 tok/s Q4 est.
• Phi-4-mini-instruct — ≈48.2 tok/s Q4 est.
• Phi-4-mini-reasoning — ≈48.2 tok/s Q4 est.
• gemma-3-4b-it — ≈47.0 tok/s Q4 est.

All models on the RTX 4060 Ti 8GB →