Model comparison

Qwen3-Coder-30B-A3B-Instruct vs Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER

At Q4_K_M, Qwen3-Coder-30B-A3B-Instruct is the smaller download — 18,556,689,568 bytes against 25,703,283,040. At long context the gap widens: Qwen3-Coder-30B-A3B-Instruct's KV cache at 32K is 1.4× 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-InstructQwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER
Parameters30.5B42.4B
Architectureqwen3moeqwen3moe
Layers4867
Native context262,144262,144
Mixture of expertsyes, 128 expertsyes, 128 experts
Quantizations published4634
Smallest quantization7.46 GiB8.21 GiB
Q4_K_M17.28 GiB23.94 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextQwen3-Coder-30B-A3B-InstructQwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODERRatio
4,0960.38 GiB0.52 GiB1.40×
8,1920.75 GiB1.05 GiB1.40×
16,3841.50 GiB2.09 GiB1.40×
32,7683.00 GiB4.19 GiB1.40×
65,5366.00 GiB8.38 GiB1.40×
131,07212.00 GiB16.75 GiB1.40×