Is Qwen3.5-0.8B-Base or Qwen3-VL-4B-Instruct smaller?

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

Which uses less memory at long context?

Qwen3.5-0.8B-Base — its KV cache at 32K context is 12.0x smaller, because of how its attention layers cache.

Model comparison

Qwen3.5-0.8B-Base vs Qwen3-VL-4B-Instruct

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Qwen3.5-0.8B-Base's KV cache at 32K is 12.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.5-0.8B-Base	Qwen3-VL-4B-Instruct
Parameters	873M	4.4B
Architecture	qwen35	qwen3vl
Layers	24	36
Native context	262,144	262,144
Mixture of experts	no	no
Quantizations published	3	26
Smallest quantization	0.52 GiB	1.01 GiB
Q4_K_M	—	2.33 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Qwen3.5-0.8B-Base	Qwen3-VL-4B-Instruct	Ratio
4,096	0.05 GiB	0.56 GiB	11.99×
8,192	0.09 GiB	1.13 GiB	12.00×
16,384	0.19 GiB	2.25 GiB	12.00×
32,768	0.38 GiB	4.50 GiB	12.00×
65,536	0.75 GiB	9.00 GiB	12.00×
131,072	1.50 GiB	18.00 GiB	12.00×