Is Qwen3.6-35B-A3B-Uncensored-Aggressive or gemma-4-E4B-it smaller?

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

Which uses less memory at long context?

gemma-4-E4B-it — its KV cache at 32K context is 1.2x smaller, because of how its attention layers cache.

Model comparison

Qwen3.6-35B-A3B-Uncensored-Aggressive vs gemma-4-E4B-it

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: gemma-4-E4B-it's KV cache at 32K is 1.2× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.6-35B-A3B-Uncensored-Aggressive	gemma-4-E4B-it
Parameters	35.1B	8.0B
Architecture	qwen35moe	gemma4
Layers	40	42
Native context	262,144	131,072
Mixture of experts	yes, 256 experts	no
Quantizations published	23	36
Smallest quantization	6.97 GiB	3.30 GiB
Q4_K_M	—	4.64 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen3.6-35B-A3B-Uncensored-Aggressive	gemma-4-E4B-it	Ratio
4,096	0.08 GiB	0.12 GiB	1.57×
8,192	0.16 GiB	0.18 GiB	1.14×
16,384	0.31 GiB	0.29 GiB	1.09×
32,768	0.63 GiB	0.51 GiB	1.24×
65,536	1.25 GiB	0.94 GiB	1.33×
131,072	2.50 GiB	1.82 GiB	1.37×