Is Anubis-70B-v1.2 or Qwen3-30B-A3B-Thinking-2507 smaller?

Qwen3-30B-A3B-Thinking-2507 is smaller at Q4_K_M: 17.28 GiB against 39.60 GiB.

Which uses less memory at long context?

Qwen3-30B-A3B-Thinking-2507 — its KV cache at 32K context is 3.3x smaller, because of how its attention layers cache.

Model comparison

Anubis-70B-v1.2 vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, Qwen3-30B-A3B-Thinking-2507 is the smaller download — 18,556,685,824 bytes against 42,520,398,432. At long context the gap widens: Qwen3-30B-A3B-Thinking-2507's KV cache at 32K is 3.3× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Anubis-70B-v1.2	Qwen3-30B-A3B-Thinking-2507
Parameters	70.6B	30.5B
Architecture	llama	qwen3moe
Layers	80	48
Native context	131,072	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	27	51
Smallest quantization	14.29 GiB	7.05 GiB
Q4_K_M	39.60 GiB	17.28 GiB
Licence	—	apache-2.0

KV cache by context

the term that decides long-context viability

Context	Anubis-70B-v1.2	Qwen3-30B-A3B-Thinking-2507	Ratio
4,096	1.25 GiB	0.38 GiB	3.33×
8,192	2.50 GiB	0.75 GiB	3.33×
16,384	5.00 GiB	1.50 GiB	3.33×
32,768	10.00 GiB	3.00 GiB	3.33×
65,536	20.00 GiB	6.00 GiB	3.33×
131,072	40.00 GiB	12.00 GiB	3.33×