Is Pixtral-12B-2409 or Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP smaller?

Pixtral-12B-2409 is smaller at Q4_K_M: 7.17 GiB against 34.04 GiB.

Which uses less memory at long context?

We cannot resolve the KV layout for one of these models, so we do not publish a comparison.

Model comparison

At Q4_K_M, Pixtral-12B-2409 is the smaller download — 7,703,795,680 bytes against 36,545,830,912.

From the file· summed bytes, KV per layer

	Pixtral-12B-2409	Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP
Parameters	12.2B	27.8B
Architecture	llama	qwen35
Layers	—	64
Native context	—	262,144
Mixture of experts	no	no
Quantizations published	16	34
Smallest quantization	4.77 GiB	10.12 GiB
Q4_K_M	7.17 GiB	34.04 GiB
Licence	apache-2.0	apache-2.0

the term that decides long-context viability

Context	Pixtral-12B-2409	Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP	Ratio
4,096	—	0.25 GiB	—
8,192	—	0.50 GiB	—
16,384	—	1.00 GiB	—
32,768	—	2.00 GiB	—
65,536	—	4.00 GiB	—
131,072	—	8.00 GiB	—