Is Qwen3-Coder-30B-A3B-Instruct or Ling-lite smaller?

Ling-lite is smaller at Q4_K_M: 10.41 GiB against 17.28 GiB.

Which uses less memory at long context?

Ling-lite — its KV cache at 32K context is 1.7x smaller, because of how its attention layers cache.

Model comparison

Qwen3-Coder-30B-A3B-Instruct vs Ling-lite

At Q4_K_M, Ling-lite is the smaller download — 11,175,490,944 bytes against 18,556,689,568. At long context the gap widens: Ling-lite's KV cache at 32K is 1.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3-Coder-30B-A3B-Instruct	Ling-lite
Parameters	30.5B	16.8B
Architecture	qwen3moe	bailingmoe
Layers	48	28
Native context	262,144	32,768
Mixture of experts	yes, 128 experts	yes, 64 experts
Quantizations published	46	54
Smallest quantization	7.46 GiB	5.97 GiB
Q4_K_M	17.28 GiB	10.41 GiB
Licence	apache-2.0	mit

KV cache by context

the term that decides long-context viability

Context	Qwen3-Coder-30B-A3B-Instruct	Ling-lite	Ratio
4,096	0.38 GiB	0.22 GiB	1.71×
8,192	0.75 GiB	0.44 GiB	1.71×
16,384	1.50 GiB	0.88 GiB	1.71×
32,768	3.00 GiB	1.75 GiB	1.71×
65,536	6.00 GiB	3.50 GiB	1.71×
131,072	12.00 GiB	7.00 GiB	1.71×