Is Qwen3.5-9B or Tiger-Gemma-12B-v3 smaller?

Qwen3.5-9B is smaller at Q4_K_M: 5.24 GiB against 7.33 GiB.

Which uses less memory at long context?

Qwen3.5-9B — its KV cache at 32K context is 2.5x smaller, because of how its attention layers cache.

Model comparison

Qwen3.5-9B vs Tiger-Gemma-12B-v3

At Q4_K_M, Qwen3.5-9B is the smaller download — 5,627,044,256 bytes against 7,867,147,904. At long context the gap widens: Qwen3.5-9B's KV cache at 32K is 2.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.5-9B	Tiger-Gemma-12B-v3
Parameters	9.7B	12.8B
Architecture	qwen35	gemma3
Layers	32	48
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	34	24
Smallest quantization	2.97 GiB	4.15 GiB
Q4_K_M	5.24 GiB	7.33 GiB
Licence	apache-2.0	—

KV cache by context

the term that decides long-context viability

Context	Qwen3.5-9B	Tiger-Gemma-12B-v3	Ratio
4,096	0.13 GiB	0.72 GiB	5.75×
8,192	0.25 GiB	0.97 GiB	3.87×
16,384	0.50 GiB	1.47 GiB	2.94×
32,768	1.00 GiB	2.47 GiB	2.47×
65,536	2.00 GiB	4.47 GiB	2.23×
131,072	4.00 GiB	8.47 GiB	2.12×