Model comparison

Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8b vs gemma-4-26B-A4B-it

At Q4_K_M, Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8b is the smaller download — 5,629,108,832 bytes against 16,796,017,248. At long context the gap widens: Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8b's KV cache at 32K is 1.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8bgemma-4-26B-A4B-it
Parameters9.4B26.5B
Architectureqwen35gemma4
Layers3230
Native context262,144262,144
Mixture of expertsnoyes, 128 experts
Quantizations published546
Smallest quantization4.19 GiB8.99 GiB
Q4_K_M5.24 GiB15.64 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8bgemma-4-26B-A4B-itRatio
4,0960.13 GiB0.45 GiB3.59×
8,1920.25 GiB0.61 GiB2.42×
16,3840.50 GiB0.92 GiB1.84×
32,7681.00 GiB1.54 GiB1.54×
65,5362.00 GiB2.79 GiB1.40×
131,0724.00 GiB5.29 GiB1.32×