Is Qwen3-4B-Qwen3.6-plus-Reasoning-Distilled or Qwen3-8B smaller?

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

Which uses less memory at long context?

Qwen3-8B — its KV cache at 32K context is 1.0x smaller, because of how its attention layers cache.

Model comparison

These two publish different quantization sets; the table below has the exact sizes.

From the file· summed bytes, KV per layer

	Qwen3-4B-Qwen3.6-plus-Reasoning-Distilled	Qwen3-8B
Parameters	4.0B	8.2B
Architecture	qwen3	qwen3
Layers	36	36
Native context	262,144	40,960
Mixture of experts	no	no
Quantizations published	3	51
Smallest quantization	2.42 GiB	2.12 GiB
Q4_K_M	—	4.68 GiB
Licence	apache-2.0	apache-2.0

the term that decides long-context viability

Context	Qwen3-4B-Qwen3.6-plus-Reasoning-Distilled	Qwen3-8B	Ratio
4,096	0.56 GiB	0.56 GiB	1.00×
8,192	1.13 GiB	1.13 GiB	1.00×
16,384	2.25 GiB	2.25 GiB	1.00×
32,768	4.50 GiB	4.50 GiB	1.00×
65,536	9.00 GiB	9.00 GiB	1.00×
131,072	18.00 GiB	18.00 GiB	1.00×