Model comparison

Midnight-Miqu-70B-v1.5 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 41,422,911,136. 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

Midnight-Miqu-70B-v1.5Qwen3-30B-A3B-Thinking-2507
Parameters69.0B30.5B
Architecturellamaqwen3moe
Layers8048
Native context32,764262,144
Mixture of expertsnoyes, 128 experts
Quantizations published4951
Smallest quantization13.54 GiB7.05 GiB
Q4_K_M38.58 GiB17.28 GiB
Licenceotherapache-2.0

KV cache by context

the term that decides long-context viability
ContextMidnight-Miqu-70B-v1.5Qwen3-30B-A3B-Thinking-2507Ratio
4,0961.25 GiB0.38 GiB3.33×
8,1922.50 GiB0.75 GiB3.33×
16,3845.00 GiB1.50 GiB3.33×
32,76810.00 GiB3.00 GiB3.33×
65,53620.00 GiB6.00 GiB3.33×
131,07240.00 GiB12.00 GiB3.33×