Is MusaCoder-27B or Qwen3-30B-A3B-Thinking-2507 smaller?

MusaCoder-27B is smaller at Q4_K_M: 15.41 GiB against 17.28 GiB.

Which uses less memory at long context?

MusaCoder-27B — its KV cache at 32K context is 1.5x smaller, because of how its attention layers cache.

Model comparison

MusaCoder-27B vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, MusaCoder-27B is the smaller download — 16,547,399,264 bytes against 18,556,685,824. At long context the gap widens: MusaCoder-27B'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

	MusaCoder-27B	Qwen3-30B-A3B-Thinking-2507
Parameters	—	30.5B
Architecture	qwen35	qwen3moe
Layers	64	48
Native context	262,144	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	5	51
Smallest quantization	12.39 GiB	7.05 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	MusaCoder-27B	Qwen3-30B-A3B-Thinking-2507	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×