Is Qwen3.8-27B or Olmo-3.1-32B-Instruct smaller?

Qwen3.8-27B is smaller at Q4_K_M: 15.66 GiB against 18.14 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 1.4x smaller, because of how its attention layers cache.

Model comparison

Qwen3.8-27B vs Olmo-3.1-32B-Instruct

At Q4_K_M, Qwen3.8-27B is the smaller download — 16,810,714,336 bytes against 19,482,034,976. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 1.4× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.8-27B	Olmo-3.1-32B-Instruct
Parameters	27.8B	32.2B
Architecture	qwen35	olmo2
Layers	64	64
Native context	262,144	65,536
Mixture of experts	no	no
Quantizations published	22	49
Smallest quantization	8.39 GiB	6.75 GiB
Q4_K_M	15.66 GiB	18.14 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	Olmo-3.1-32B-Instruct	Ratio
4,096	0.25 GiB	1.00 GiB	4.00×
8,192	0.50 GiB	1.34 GiB	2.69×
16,384	1.00 GiB	1.84 GiB	1.84×
32,768	2.00 GiB	2.84 GiB	1.42×
65,536	4.00 GiB	4.84 GiB	1.21×
131,072	8.00 GiB	8.84 GiB	1.11×