Can RTX 5080 16GB run GLM-5.1?

NVIDIA · 16 GB GDDR7 · 960 GB/s bandwidth · Z.ai · 753.9B (active 40B) · MoE · model ctx up to 198K

No — GLM-5.1 at Q4 needs ≈ 419.65 GB even at 4K context, beyond the RTX 5080 16GB's 16 GB GDDR7. It would only run with heavy CPU/disk offload. FP16 needs ≈ 1516.8 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	419.65 GB	No	—
Q4	8K default	423.65 GB	No	—
Q4	32K	447.65 GB	No	—
FP16	4K	1512.8 GB	No	—
FP16	8K default	1516.8 GB	No	—
FP16	32K	1540.8 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 5080 16GB VRAM
Q4	414.65 GB	8.0 GB	1 GB	423.65 GB	16 GB
FP16	1507.8 GB	8.0 GB	1 GB	1516.8 GB	16 GB

Other GPUs that run GLM-5.1

No catalog GPU fully fits GLM-5.1 at Q4/8K — see the model page for offload estimates.

All GPUs for GLM-5.1 →

Other models for the RTX 5080 16GB

• Qwen3-0.6B — ≈763.6 tok/s Q4 est.
• gemma-3-1b-it — ≈610.9 tok/s Q4 est.
• Llama-3.2-1B-Instruct — ≈509.1 tok/s Q4 est.
• Qwen3-1.7B — ≈305.5 tok/s Q4 est.
• gpt-oss-20b — ≈204.9 tok/s Q4 measured
• Llama-3.2-3B-Instruct — ≈190.9 tok/s Q4 est.
• Mistral-7B-Instruct-v0.3 — ≈163.6 tok/s Q4 measured
• Phi-4-mini-instruct — ≈160.8 tok/s Q4 est.

All models on the RTX 5080 16GB →