Is Qwen3-Coder-Next-DFlash or Llama-3.2-1B-Instruct smaller?

Qwen3-Coder-Next-DFlash is smaller at Q4_K_M: 0.27 GiB against 0.75 GiB.

Which uses less memory at long context?

Qwen3-Coder-Next-DFlash — its KV cache at 32K context is 2.0x smaller, because of how its attention layers cache.

Model comparison

Qwen3-Coder-Next-DFlash vs Llama-3.2-1B-Instruct

At Q4_K_M, Qwen3-Coder-Next-DFlash is the smaller download — 286,754,016 bytes against 807,690,688. At long context the gap widens: Qwen3-Coder-Next-DFlash's KV cache at 32K is 2.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3-Coder-Next-DFlash	Llama-3.2-1B-Instruct
Parameters	474M	1.2B
Architecture	dflash	llama
Layers	8	16
Native context	262,144	131,072
Mixture of experts	no	no
Quantizations published	7	39
Smallest quantization	0.25 GiB	0.39 GiB
Q4_K_M	0.27 GiB	0.75 GiB
Licence	—	—

KV cache by context

the term that decides long-context viability

Context	Qwen3-Coder-Next-DFlash	Llama-3.2-1B-Instruct	Ratio
4,096	0.06 GiB	0.13 GiB	2.00×
8,192	0.13 GiB	0.25 GiB	2.00×
16,384	0.25 GiB	0.50 GiB	2.00×
32,768	0.50 GiB	1.00 GiB	2.00×
65,536	1.00 GiB	2.00 GiB	2.00×
131,072	2.00 GiB	4.00 GiB	2.00×