Model comparison

Olmo-3.1-32B-Instruct vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, Qwen3-30B-A3B-Thinking-2507 is the smaller download — 18,556,685,824 bytes against 19,482,034,976.

From the file· summed bytes, KV per layer

Side by side

Olmo-3.1-32B-InstructQwen3-30B-A3B-Thinking-2507
Parameters32.2B30.5B
Architectureolmo2qwen3moe
Layers6448
Native context65,536262,144
Mixture of expertsnoyes, 128 experts
Quantizations published4951
Smallest quantization6.75 GiB7.05 GiB
Q4_K_M18.14 GiB17.28 GiB
Licenceapache-2.0apache-2.0

KV cache by context

the term that decides long-context viability
ContextOlmo-3.1-32B-InstructQwen3-30B-A3B-Thinking-2507Ratio
4,0961.00 GiB0.38 GiB2.67×
8,1921.34 GiB0.75 GiB1.79×
16,3841.84 GiB1.50 GiB1.23×
32,7682.84 GiB3.00 GiB1.05×
65,5364.84 GiB6.00 GiB1.24×
131,0728.84 GiB12.00 GiB1.36×