Model comparison
Qwen3-Coder-30B-A3B-Instruct vs MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking
At Q4_K_M, MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking is the smaller download — 14,354,741,376 bytes against 18,556,689,568. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 3.4× smaller, which usually matters more than the difference in weights.
From the file· summed bytes, KV per layer
Side by side
| Qwen3-Coder-30B-A3B-Instruct | MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking | |
|---|---|---|
| Parameters | 30.5B | 23.4B |
| Architecture | qwen3moe | llama |
| Layers | 48 | 81 |
| Native context | 262,144 | 1,024,000 |
| Mixture of experts | yes, 128 experts | no |
| Quantizations published | 46 | 33 |
| Smallest quantization | 7.46 GiB | 5.00 GiB |
| Q4_K_M | 17.28 GiB | 13.37 GiB |
| Licence | apache-2.0 | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | Qwen3-Coder-30B-A3B-Instruct | MN-GRAND-23.5B-Gutenberg-UNCENSORED-V2-GLM4.7-Thinking | Ratio |
|---|---|---|---|
| 4,096 | 0.38 GiB | 1.27 GiB | 3.38× |
| 8,192 | 0.75 GiB | 2.53 GiB | 3.38× |
| 16,384 | 1.50 GiB | 5.06 GiB | 3.38× |
| 32,768 | 3.00 GiB | 10.13 GiB | 3.38× |
| 65,536 | 6.00 GiB | 20.25 GiB | 3.38× |
| 131,072 | 12.00 GiB | 40.50 GiB | 3.38× |