Is GLM-Z1-Rumination-32B-0414 or Qwen3.8-27B smaller?

Qwen3.8-27B is smaller at Q4_K_M: 15.66 GiB against 18.66 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 3.8x smaller, because of how its attention layers cache.

Model comparison

GLM-Z1-Rumination-32B-0414 vs Qwen3.8-27B

At Q4_K_M, Qwen3.8-27B is the smaller download — 16,810,714,336 bytes against 20,040,332,576. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 3.8× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	GLM-Z1-Rumination-32B-0414	Qwen3.8-27B
Parameters	33.1B	27.8B
Architecture	glm4	qwen35
Layers	61	64
Native context	131,072	262,144
Mixture of experts	no	no
Quantizations published	29	22
Smallest quantization	9.45 GiB	8.39 GiB
Q4_K_M	18.66 GiB	15.66 GiB
Licence	mit	apache-2.0

KV cache by context

the term that decides long-context viability

Context	GLM-Z1-Rumination-32B-0414	Qwen3.8-27B	Ratio
4,096	0.95 GiB	0.25 GiB	3.81×
8,192	1.91 GiB	0.50 GiB	3.81×
16,384	3.81 GiB	1.00 GiB	3.81×
32,768	7.63 GiB	2.00 GiB	3.81×
65,536	15.25 GiB	4.00 GiB	3.81×
131,072	30.50 GiB	8.00 GiB	3.81×