Is gemma-4-26B-A4B-it or Magistral-Small-2509-Vision smaller?

Magistral-Small-2509-Vision is smaller at Q4_K_M: 11.76 GiB against 15.64 GiB.

Which uses less memory at long context?

gemma-4-26B-A4B-it — its KV cache at 32K context is 3.2x smaller, because of how its attention layers cache.

Model comparison

gemma-4-26B-A4B-it vs Magistral-Small-2509-Vision

At Q4_K_M, Magistral-Small-2509-Vision is the smaller download — 12,621,946,560 bytes against 16,796,017,248. At long context the gap widens: gemma-4-26B-A4B-it's KV cache at 32K is 3.2× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	gemma-4-26B-A4B-it	Magistral-Small-2509-Vision
Parameters	26.5B	24.0B
Architecture	gemma4	llama
Layers	30	40
Native context	262,144	131,072
Mixture of experts	yes, 128 experts	no
Quantizations published	46	16
Smallest quantization	8.99 GiB	8.09 GiB
Q4_K_M	15.64 GiB	11.76 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	gemma-4-26B-A4B-it	Magistral-Small-2509-Vision	Ratio
4,096	0.45 GiB	0.63 GiB	1.39×
8,192	0.61 GiB	1.25 GiB	2.06×
16,384	0.92 GiB	2.50 GiB	2.72×
32,768	1.54 GiB	5.00 GiB	3.24×
65,536	2.79 GiB	10.00 GiB	3.58×
131,072	5.29 GiB	20.00 GiB	3.78×