Is EuroLLM-22B-Instruct-2512 or Qwen3.8-27B smaller?

EuroLLM-22B-Instruct-2512 is smaller at Q4_K_M: 12.72 GiB against 15.66 GiB.

Which uses less memory at long context?

Qwen3.8-27B — its KV cache at 32K context is 3.4x smaller, because of how its attention layers cache.

Model comparison

EuroLLM-22B-Instruct-2512 vs Qwen3.8-27B

At Q4_K_M, EuroLLM-22B-Instruct-2512 is the smaller download — 13,658,576,160 bytes against 16,810,714,336. At long context the gap widens: Qwen3.8-27B's KV cache at 32K is 3.4× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	EuroLLM-22B-Instruct-2512	Qwen3.8-27B
Parameters	22.6B	27.8B
Architecture	llama	qwen35
Layers	54	64
Native context	32,768	262,144
Mixture of experts	no	no
Quantizations published	36	22
Smallest quantization	6.53 GiB	8.39 GiB
Q4_K_M	12.72 GiB	15.66 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	EuroLLM-22B-Instruct-2512	Qwen3.8-27B	Ratio
4,096	0.84 GiB	0.25 GiB	3.37×
8,192	1.69 GiB	0.50 GiB	3.37×
16,384	3.38 GiB	1.00 GiB	3.37×
32,768	6.75 GiB	2.00 GiB	3.37×
65,536	13.50 GiB	4.00 GiB	3.37×
131,072	27.00 GiB	8.00 GiB	3.37×