Model comparison

gemma-3-27b-it vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, gemma-3-27b-it is the smaller download — 16,546,404,736 bytes against 18,556,685,824.

From the file· summed bytes, KV per layer

Side by side

gemma-3-27b-itQwen3-30B-A3B-Thinking-2507
Parameters27.4B30.5B
Architecturegemma3qwen3moe
Layers6248
Native context131,072262,144
Mixture of expertsnoyes, 128 experts
Quantizations published4851
Smallest quantization6.06 GiB7.05 GiB
Q4_K_M15.41 GiB17.28 GiB
Licenceapache-2.0

KV cache by context

the term that decides long-context viability
Contextgemma-3-27b-itQwen3-30B-A3B-Thinking-2507Ratio
4,0960.92 GiB0.38 GiB2.46×
8,1921.23 GiB0.75 GiB1.65×
16,3841.86 GiB1.50 GiB1.24×
32,7683.11 GiB3.00 GiB1.04×
65,5365.61 GiB6.00 GiB1.07×
131,07210.61 GiB12.00 GiB1.13×