Is Skyfall-31B-v4.2 or Qwen3-Coder-30B-A3B-Instruct smaller?

Qwen3-Coder-30B-A3B-Instruct is smaller at Q4_K_M: 17.28 GiB against 17.97 GiB.

Which uses less memory at long context?

Qwen3-Coder-30B-A3B-Instruct — its KV cache at 32K context is 2.3x smaller, because of how its attention layers cache.

Model comparison

Skyfall-31B-v4.2 vs Qwen3-Coder-30B-A3B-Instruct

At Q4_K_M, Qwen3-Coder-30B-A3B-Instruct is the smaller download — 18,556,689,568 bytes against 19,296,142,016. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 2.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Skyfall-31B-v4.2	Qwen3-Coder-30B-A3B-Instruct
Parameters	31.4B	30.5B
Architecture	llama	qwen3moe
Layers	54	48
Native context	131,072	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	49	46
Smallest quantization	6.39 GiB	7.46 GiB
Q4_K_M	17.97 GiB	17.28 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Skyfall-31B-v4.2	Qwen3-Coder-30B-A3B-Instruct	Ratio
4,096	0.84 GiB	0.38 GiB	2.25×
8,192	1.69 GiB	0.75 GiB	2.25×
16,384	3.38 GiB	1.50 GiB	2.25×
32,768	6.75 GiB	3.00 GiB	2.25×
65,536	13.50 GiB	6.00 GiB	2.25×
131,072	27.00 GiB	12.00 GiB	2.25×