Is Qwen3-Coder-30B-A3B-Instruct or qwen3-14b-code-reasoning-conversational smaller?

qwen3-14b-code-reasoning-conversational is smaller at Q4_K_M: 8.38 GiB against 17.28 GiB.

Which uses less memory at long context?

Qwen3-Coder-30B-A3B-Instruct — 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 qwen3-14b-code-reasoning-conversational

At Q4_K_M, qwen3-14b-code-reasoning-conversational is the smaller download — 9,001,754,464 bytes against 18,556,689,568. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct'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	qwen3-14b-code-reasoning-conversational
Parameters	30.5B	14.8B
Architecture	qwen3moe	qwen3
Layers	48	40
Native context	262,144	140,000
Mixture of experts	yes, 128 experts	no
Quantizations published	46	11
Smallest quantization	7.46 GiB	5.36 GiB
Q4_K_M	17.28 GiB	8.38 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen3-Coder-30B-A3B-Instruct	qwen3-14b-code-reasoning-conversational	Ratio
4,096	0.38 GiB	0.63 GiB	1.67×
8,192	0.75 GiB	1.25 GiB	1.67×
16,384	1.50 GiB	2.50 GiB	1.67×
32,768	3.00 GiB	5.00 GiB	1.67×
65,536	6.00 GiB	10.00 GiB	1.67×
131,072	12.00 GiB	20.00 GiB	1.67×