Is OpenCoder-1.5B-Instruct or Qwen3-4B smaller?

OpenCoder-1.5B-Instruct is smaller at Q4_K_M: 1.32 GiB against 2.33 GiB.

Which uses less memory at long context?

Qwen3-4B — its KV cache at 32K context is 1.5x smaller, because of how its attention layers cache.

Model comparison

OpenCoder-1.5B-Instruct vs Qwen3-4B

At Q4_K_M, OpenCoder-1.5B-Instruct is the smaller download — 1,417,775,200 bytes against 2,497,280,256. At long context the gap widens: Qwen3-4B'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

	OpenCoder-1.5B-Instruct	Qwen3-4B
Parameters	1.9B	4.0B
Architecture	llama	qwen3
Layers	24	36
Native context	4,096	40,960
Mixture of experts	no	no
Quantizations published	4	29
Smallest quantization	1.18 GiB	1.01 GiB
Q4_K_M	1.32 GiB	2.33 GiB
Licence	other	—

KV cache by context

the term that decides long-context viability

Context	OpenCoder-1.5B-Instruct	Qwen3-4B	Ratio
4,096	0.82 GiB	0.56 GiB	1.46×
8,192	1.64 GiB	1.13 GiB	1.46×
16,384	3.28 GiB	2.25 GiB	1.46×
32,768	6.56 GiB	4.50 GiB	1.46×
65,536	13.13 GiB	9.00 GiB	1.46×
131,072	26.25 GiB	18.00 GiB	1.46×