Is Qwen3.8-27B or 14B smaller?

Both publish quantizations; compare the table for the exact sizes.

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 14B

These two publish different quantization sets; the table below has the exact sizes. 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	14B
Parameters	27.8B	14.2B
Architecture	qwen35	llama
Layers	64	40
Native context	262,144	8,192
Mixture of experts	no	no
Quantizations published	22	5
Smallest quantization	8.39 GiB	7.62 GiB
Q4_K_M	15.66 GiB	—
Licence	apache-2.0	wtfpl

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	14B	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×