Is Yi-Coder-1.5B-Chat or Qwen3-4B smaller?

Yi-Coder-1.5B-Chat is smaller at Q4_K_M: 0.90 GiB against 2.33 GiB.

Which uses less memory at long context?

Qwen3-4B — its KV cache at 32K context is 1.3x smaller, because of how its attention layers cache.

Model comparison

Yi-Coder-1.5B-Chat vs Qwen3-4B

At Q4_K_M, Yi-Coder-1.5B-Chat is the smaller download — 963,674,304 bytes against 2,497,280,256. At long context the gap widens: Qwen3-4B's KV cache at 32K is 1.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Yi-Coder-1.5B-Chat	Qwen3-4B
Parameters	1.5B	4.0B
Architecture	llama	qwen3
Layers	24	36
Native context	131,072	40,960
Mixture of experts	no	no
Quantizations published	33	29
Smallest quantization	0.46 GiB	1.01 GiB
Q4_K_M	0.90 GiB	2.33 GiB
Licence	—	—

KV cache by context

the term that decides long-context viability

Context	Yi-Coder-1.5B-Chat	Qwen3-4B	Ratio
4,096	0.75 GiB	0.56 GiB	1.33×
8,192	1.50 GiB	1.13 GiB	1.33×
16,384	3.00 GiB	2.25 GiB	1.33×
32,768	6.00 GiB	4.50 GiB	1.33×
65,536	12.00 GiB	9.00 GiB	1.33×
131,072	24.00 GiB	18.00 GiB	1.33×