Is gemma-4-12B-it-qat-q4_0-unquantized or Qwen3.6-28B smaller?

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

Which uses less memory at long context?

Qwen3.6-28B — its KV cache at 32K context is 3.9x smaller, because of how its attention layers cache.

Model comparison

gemma-4-12B-it-qat-q4_0-unquantized vs Qwen3.6-28B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Qwen3.6-28B's KV cache at 32K is 3.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	gemma-4-12B-it-qat-q4_0-unquantized	Qwen3.6-28B
Parameters	12.0B	28.2B
Architecture	gemma4	qwen35moe
Layers	48	40
Native context	262,144	262,144
Mixture of experts	no	yes, 205 experts
Quantizations published	2	58
Smallest quantization	6.50 GiB	5.77 GiB
Q4_K_M	—	16.08 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	gemma-4-12B-it-qat-q4_0-unquantized	Qwen3.6-28B	Ratio
4,096	0.72 GiB	0.08 GiB	9.19×
8,192	0.97 GiB	0.16 GiB	6.20×
16,384	1.47 GiB	0.31 GiB	4.70×
32,768	2.47 GiB	0.63 GiB	3.95×
65,536	4.47 GiB	1.25 GiB	3.57×
131,072	8.47 GiB	2.50 GiB	3.39×