Is Gemma-4-19B or Qwen3-30B-A3B-Thinking-2507 smaller?

Gemma-4-19B is smaller at Q4_K_M: 11.45 GiB against 17.28 GiB.

Which uses less memory at long context?

Gemma-4-19B — its KV cache at 32K context is 1.9x smaller, because of how its attention layers cache.

Model comparison

Gemma-4-19B vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, Gemma-4-19B is the smaller download — 12,291,399,040 bytes against 18,556,685,824. At long context the gap widens: Gemma-4-19B's KV cache at 32K is 1.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Gemma-4-19B	Qwen3-30B-A3B-Thinking-2507
Parameters	19.0B	30.5B
Architecture	gemma4	qwen3moe
Layers	30	48
Native context	262,144	262,144
Mixture of experts	yes, 90 experts	yes, 128 experts
Quantizations published	35	51
Smallest quantization	5.70 GiB	7.05 GiB
Q4_K_M	11.45 GiB	17.28 GiB
Licence	gemma	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Gemma-4-19B	Qwen3-30B-A3B-Thinking-2507	Ratio
4,096	0.45 GiB	0.38 GiB	1.20×
8,192	0.61 GiB	0.75 GiB	1.24×
16,384	0.92 GiB	1.50 GiB	1.63×
32,768	1.54 GiB	3.00 GiB	1.94×
65,536	2.79 GiB	6.00 GiB	2.15×
131,072	5.29 GiB	12.00 GiB	2.27×