Is Gemma-4-26B-A4B-NVFP4 or Qwen3.6-35B-A3B smaller?

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

Which uses less memory at long context?

Qwen3.6-35B-A3B — its KV cache at 32K context is 2.5x smaller, because of how its attention layers cache.

Model comparison

Gemma-4-26B-A4B-NVFP4 vs Qwen3.6-35B-A3B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Qwen3.6-35B-A3B'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

	Gemma-4-26B-A4B-NVFP4	Qwen3.6-35B-A3B
Parameters	14.4B	36.0B
Architecture	gemma4	qwen35moe
Layers	30	40
Native context	262,144	262,144
Mixture of experts	yes, 128 experts	yes, 256 experts
Quantizations published	2	61
Smallest quantization	16.46 GiB	8.77 GiB
Q4_K_M	—	19.71 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Gemma-4-26B-A4B-NVFP4	Qwen3.6-35B-A3B	Ratio
4,096	0.45 GiB	0.08 GiB	5.75×
8,192	0.61 GiB	0.16 GiB	3.87×
16,384	0.92 GiB	0.31 GiB	2.94×
32,768	1.54 GiB	0.63 GiB	2.47×
65,536	2.79 GiB	1.25 GiB	2.23×
131,072	5.29 GiB	2.50 GiB	2.12×