Is Qwen2.5-VL-72B-Instruct or gemma-4-26B-A4B-it smaller?

gemma-4-26B-A4B-it is smaller at Q4_K_M: 15.64 GiB against 44.16 GiB.

Which uses less memory at long context?

gemma-4-26B-A4B-it — its KV cache at 32K context is 6.5x smaller, because of how its attention layers cache.

Model comparison

Qwen2.5-VL-72B-Instruct vs gemma-4-26B-A4B-it

At Q4_K_M, gemma-4-26B-A4B-it is the smaller download — 16,796,017,248 bytes against 47,415,713,248. At long context the gap widens: gemma-4-26B-A4B-it's KV cache at 32K is 6.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen2.5-VL-72B-Instruct	gemma-4-26B-A4B-it
Parameters	73.4B	26.5B
Architecture	qwen2vl	gemma4
Layers	80	30
Native context	128,000	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	45	46
Smallest quantization	22.11 GiB	8.99 GiB
Q4_K_M	44.16 GiB	15.64 GiB
Licence	other	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen2.5-VL-72B-Instruct	gemma-4-26B-A4B-it	Ratio
4,096	1.25 GiB	0.45 GiB	2.78×
8,192	2.50 GiB	0.61 GiB	4.13×
16,384	5.00 GiB	0.92 GiB	5.45×
32,768	10.00 GiB	1.54 GiB	6.48×
65,536	20.00 GiB	2.79 GiB	7.16×
131,072	40.00 GiB	5.29 GiB	7.56×