Model comparison

Qwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reap vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, Qwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reap is the smaller download — 8,695,086,464 bytes against 18,556,685,824. At long context the gap widens: Qwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reap'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

Qwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reapQwen3-30B-A3B-Thinking-2507
Parameters14.1B30.5B
Architectureqwen35moeqwen3moe
Layers4048
Native context262,144262,144
Mixture of expertsyes, 93 expertsyes, 128 experts
Quantizations published351
Smallest quantization8.10 GiB7.05 GiB
Q4_K_M8.10 GiB17.28 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reapQwen3-30B-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×