Model comparison

HopCoder-Mini-35B-A3B-VL36 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 21,166,754,048. At long context the gap widens: HopCoder-Mini-35B-A3B-VL36's KV cache at 32K is 4.8× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

HopCoder-Mini-35B-A3B-VL36Qwen3-30B-A3B-Thinking-2507
Parameters35.1B30.5B
Architectureqwen3moe
Layers4048
Native context262,144262,144
Mixture of expertsyes, 256 expertsyes, 128 experts
Quantizations published1551
Smallest quantization8.82 GiB7.05 GiB
Q4_K_M19.71 GiB17.28 GiB
Licenceotherapache-2.0

KV cache by context

the term that decides long-context viability
ContextHopCoder-Mini-35B-A3B-VL36Qwen3-30B-A3B-Thinking-2507Ratio
4,0960.08 GiB0.38 GiB4.80×
8,1920.16 GiB0.75 GiB4.80×
16,3840.31 GiB1.50 GiB4.80×
32,7680.63 GiB3.00 GiB4.80×
65,5361.25 GiB6.00 GiB4.80×
131,0722.50 GiB12.00 GiB4.80×