Model comparison
Qwen3.6-35B-A3B-REAM-160-ru-agent vs Qwen3-30B-A3B-Thinking-2507
At Q4_K_M, Qwen3.6-35B-A3B-REAM-160-ru-agent is the smaller download — 14,398,842,656 bytes against 18,556,685,824. At long context the gap widens: Qwen3.6-35B-A3B-REAM-160-ru-agent'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
| Qwen3.6-35B-A3B-REAM-160-ru-agent | Qwen3-30B-A3B-Thinking-2507 | |
|---|---|---|
| Parameters | 23.6B | 30.5B |
| Architecture | qwen35moe | qwen3moe |
| Layers | 40 | 48 |
| Native context | 262,144 | 262,144 |
| Mixture of experts | yes, 160 experts | yes, 128 experts |
| Quantizations published | 56 | 51 |
| Smallest quantization | 5.24 GiB | 7.05 GiB |
| Q4_K_M | 13.41 GiB | 17.28 GiB |
| Licence | — | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Qwen3.6-35B-A3B-REAM-160-ru-agent | Qwen3-30B-A3B-Thinking-2507 | Ratio |
|---|---|---|---|
| 4,096 | 0.08 GiB | 0.38 GiB | 4.80× |
| 8,192 | 0.16 GiB | 0.75 GiB | 4.80× |
| 16,384 | 0.31 GiB | 1.50 GiB | 4.80× |
| 32,768 | 0.63 GiB | 3.00 GiB | 4.80× |
| 65,536 | 1.25 GiB | 6.00 GiB | 4.80× |
| 131,072 | 2.50 GiB | 12.00 GiB | 4.80× |