Is glm4.1v-9b-base-sft or Qwen3-8B smaller?

Both publish quantizations; compare the table for the exact sizes.

Which uses less memory at long context?

glm4.1v-9b-base-sft — its KV cache at 32K context is 3.6x smaller, because of how its attention layers cache.

Model comparison

glm4.1v-9b-base-sft vs Qwen3-8B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: glm4.1v-9b-base-sft's KV cache at 32K is 3.6× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	glm4.1v-9b-base-sft	Qwen3-8B
Parameters	10.3B	8.2B
Architecture	glm4	qwen3
Layers	40	36
Native context	65,536	40,960
Mixture of experts	no	no
Quantizations published	24	51
Smallest quantization	2.90 GiB	2.12 GiB
Q4_K_M	—	4.68 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	glm4.1v-9b-base-sft	Qwen3-8B	Ratio
4,096	0.16 GiB	0.56 GiB	3.60×
8,192	0.31 GiB	1.13 GiB	3.60×
16,384	0.63 GiB	2.25 GiB	3.60×
32,768	1.25 GiB	4.50 GiB	3.60×
65,536	2.50 GiB	9.00 GiB	3.60×
131,072	5.00 GiB	18.00 GiB	3.60×