Is T-lite-it-2.1 or Qwen3-30B-A3B-Thinking-2507 smaller?

T-lite-it-2.1 is smaller at Q4_K_M: 4.68 GiB against 17.28 GiB.

Which uses less memory at long context?

Qwen3-30B-A3B-Thinking-2507 — its KV cache at 32K context is 1.5x smaller, because of how its attention layers cache.

Model comparison

T-lite-it-2.1 vs Qwen3-30B-A3B-Thinking-2507

At Q4_K_M, T-lite-it-2.1 is the smaller download — 5,027,750,240 bytes against 18,556,685,824. At long context the gap widens: Qwen3-30B-A3B-Thinking-2507's KV cache at 32K is 1.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	T-lite-it-2.1	Qwen3-30B-A3B-Thinking-2507
Parameters	8.2B	30.5B
Architecture	qwen3	qwen3moe
Layers	36	48
Native context	40,960	262,144
Mixture of experts	no	yes, 128 experts
Quantizations published	7	51
Smallest quantization	4.68 GiB	7.05 GiB
Q4_K_M	4.68 GiB	17.28 GiB
Licence	apache-2.0	apache-2.0

KV cache by context

the term that decides long-context viability

Context	T-lite-it-2.1	Qwen3-30B-A3B-Thinking-2507	Ratio
4,096	0.56 GiB	0.38 GiB	1.50×
8,192	1.13 GiB	0.75 GiB	1.50×
16,384	2.25 GiB	1.50 GiB	1.50×
32,768	4.50 GiB	3.00 GiB	1.50×
65,536	9.00 GiB	6.00 GiB	1.50×
131,072	18.00 GiB	12.00 GiB	1.50×