Model comparison

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

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

gemma-4-26B-A4B-itQwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8b
Parameters26.5B9.4B
Architecturegemma4qwen35
Layers3032
Native context262,144262,144
Mixture of expertsyes, 128 expertsno
Quantizations published465
Smallest quantization8.99 GiB4.19 GiB
Q4_K_M15.64 GiB5.24 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
Contextgemma-4-26B-A4B-itQwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-X8bRatio
4,0960.45 GiB0.13 GiB3.59×
8,1920.61 GiB0.25 GiB2.42×
16,3840.92 GiB0.50 GiB1.84×
32,7681.54 GiB1.00 GiB1.54×
65,5362.79 GiB2.00 GiB1.40×
131,0725.29 GiB4.00 GiB1.32×