Model comparison
ThinkingCap-Qwen3.6-27B vs gemma-4-26B-A4B-it
At Q4_K_M, gemma-4-26B-A4B-it is the smaller download — 16,796,017,248 bytes against 16,810,713,056. At long context the gap widens: gemma-4-26B-A4B-it's KV cache at 32K is 1.3× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| ThinkingCap-Qwen3.6-27B | gemma-4-26B-A4B-it | |
|---|---|---|
| Parameters | 27.4B | 26.5B |
| Architecture | qwen35 | gemma4 |
| Layers | 64 | 30 |
| Native context | 262,144 | 262,144 |
| Mixture of experts | no | yes, 128 experts |
| Quantizations published | 28 | 46 |
| Smallest quantization | 9.30 GiB | 8.99 GiB |
| Q4_K_M | 15.66 GiB | 15.64 GiB |
| Licence | — | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | ThinkingCap-Qwen3.6-27B | gemma-4-26B-A4B-it | Ratio |
|---|---|---|---|
| 4,096 | 0.25 GiB | 0.45 GiB | 1.80× |
| 8,192 | 0.50 GiB | 0.61 GiB | 1.21× |
| 16,384 | 1.00 GiB | 0.92 GiB | 1.09× |
| 32,768 | 2.00 GiB | 1.54 GiB | 1.30× |
| 65,536 | 4.00 GiB | 2.79 GiB | 1.43× |
| 131,072 | 8.00 GiB | 5.29 GiB | 1.51× |