Is Qwen-Image-Bench or Qwen3-VL-30B-A3B-Instruct smaller?

Qwen-Image-Bench is smaller at Q4_K_M: 15.41 GiB against 17.28 GiB.

Which uses less memory at long context?

Qwen-Image-Bench — its KV cache at 32K context is 1.5x smaller, because of how its attention layers cache.

Model comparison

Qwen-Image-Bench vs Qwen3-VL-30B-A3B-Instruct

At Q4_K_M, Qwen-Image-Bench is the smaller download — 16,547,399,200 bytes against 18,556,687,168. At long context the gap widens: Qwen-Image-Bench's KV cache at 32K is 1.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen-Image-Bench	Qwen3-VL-30B-A3B-Instruct
Parameters	27.4B	31.1B
Architecture	qwen35	qwen3vlmoe
Layers	64	48
Native context	262,144	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	9	26
Smallest quantization	9.98 GiB	7.60 GiB
Q4_K_M	15.41 GiB	17.28 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen-Image-Bench	Qwen3-VL-30B-A3B-Instruct	Ratio
4,096	0.25 GiB	0.38 GiB	1.50×
8,192	0.50 GiB	0.75 GiB	1.50×
16,384	1.00 GiB	1.50 GiB	1.50×
32,768	2.00 GiB	3.00 GiB	1.50×
65,536	4.00 GiB	6.00 GiB	1.50×
131,072	8.00 GiB	12.00 GiB	1.50×