Is Yi-Coder-9B-Chat or Qwen3-8B smaller?

Qwen3-8B is smaller at Q4_K_M: 4.68 GiB against 4.96 GiB.

Which uses less memory at long context?

Yi-Coder-9B-Chat — its KV cache at 32K context is 1.5x smaller, because of how its attention layers cache.

Model comparison

Yi-Coder-9B-Chat vs Qwen3-8B

At Q4_K_M, Qwen3-8B is the smaller download — 5,027,783,488 bytes against 5,328,957,984. At long context the gap widens: Yi-Coder-9B-Chat'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

	Yi-Coder-9B-Chat	Qwen3-8B
Parameters	8.8B	8.2B
Architecture	llama	qwen3
Layers	48	36
Native context	131,072	40,960
Mixture of experts	no	no
Quantizations published	36	51
Smallest quantization	1.88 GiB	2.12 GiB
Q4_K_M	4.96 GiB	4.68 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Yi-Coder-9B-Chat	Qwen3-8B	Ratio
4,096	0.38 GiB	0.56 GiB	1.50×
8,192	0.75 GiB	1.13 GiB	1.50×
16,384	1.50 GiB	2.25 GiB	1.50×
32,768	3.00 GiB	4.50 GiB	1.50×
65,536	6.00 GiB	9.00 GiB	1.50×
131,072	12.00 GiB	18.00 GiB	1.50×