Is Qwen3-Zero-Coder-Reasoning-V2-0.8B or Qwen3-1.7B smaller?

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

Which uses less memory at long context?

Qwen3-1.7B — its KV cache at 32K context is 1.5x smaller, because of how its attention layers cache.

Model comparison

Qwen3-Zero-Coder-Reasoning-V2-0.8B vs Qwen3-1.7B

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: Qwen3-1.7B's KV cache at 32K is 1.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3-Zero-Coder-Reasoning-V2-0.8B	Qwen3-1.7B
Parameters	816M	2.0B
Architecture	qwen3	qwen3
Layers	42	28
Native context	40,960	40,960
Mixture of experts	no	no
Quantizations published	26	48
Smallest quantization	0.24 GiB	0.50 GiB
Q4_K_M	—	1.03 GiB
Licence	apache-2.0	—

KV cache by context

the term that decides long-context viability

Context	Qwen3-Zero-Coder-Reasoning-V2-0.8B	Qwen3-1.7B	Ratio
4,096	0.66 GiB	0.44 GiB	1.50×
8,192	1.31 GiB	0.88 GiB	1.50×
16,384	2.63 GiB	1.75 GiB	1.50×
32,768	5.25 GiB	3.50 GiB	1.50×
65,536	10.50 GiB	7.00 GiB	1.50×
131,072	21.00 GiB	14.00 GiB	1.50×