Is Qwen3.8-27B or MythoMax-L2-Kimiko-v2-13b smaller?

MythoMax-L2-Kimiko-v2-13b is smaller at Q4_K_M: 7.33 GiB against 15.66 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 12.5x smaller, because of how its attention layers cache.

Model comparison

Qwen3.8-27B vs MythoMax-L2-Kimiko-v2-13b

At Q4_K_M, MythoMax-L2-Kimiko-v2-13b is the smaller download — 7,865,956,224 bytes against 16,810,714,336. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 12.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.8-27B	MythoMax-L2-Kimiko-v2-13b
Parameters	27.8B	13.0B
Architecture	qwen35	llama
Layers	64	40
Native context	262,144	4,096
Mixture of experts	no	no
Quantizations published	22	26
Smallest quantization	8.39 GiB	4.70 GiB
Q4_K_M	15.66 GiB	7.33 GiB
Licence	apache-2.0	cc-by-nc-4.0

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	MythoMax-L2-Kimiko-v2-13b	Ratio
4,096	0.25 GiB	3.13 GiB	12.49×
8,192	0.50 GiB	6.25 GiB	12.50×
16,384	1.00 GiB	12.50 GiB	12.50×
32,768	2.00 GiB	25.00 GiB	12.50×
65,536	4.00 GiB	50.00 GiB	12.50×
131,072	8.00 GiB	100.00 GiB	12.50×