Is DeepSeek-V4-Flash or GLM-5.2 smaller?

Both publish quantizations; compare the table for the exact sizes.

Which uses less memory at long context?

DeepSeek-V4-Flash — its KV cache at 32K context is 43.5x smaller, because of how its attention layers cache.

Model comparison

DeepSeek-V4-Flash vs GLM-5.2

These two publish different quantization sets; the table below has the exact sizes. At long context the gap widens: DeepSeek-V4-Flash's KV cache at 32K is 43.5× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	DeepSeek-V4-Flash	GLM-5.2
Parameters	291B	753B
Architecture	deepseek4	glm-dsa
Layers	43	78
Native context	1,048,576	1,048,576
Mixture of experts	yes, 256 experts	yes, 256 experts
Quantizations published	12	20
Smallest quantization	76.87 GiB	169.33 GiB
Q4_K_M	—	—
Licence	mit	mit

KV cache by context

the term that decides long-context viability

Context	DeepSeek-V4-Flash	GLM-5.2	Ratio
4,096	0.06 GiB	0.34 GiB	5.44×
8,192	0.06 GiB	0.69 GiB	10.88×
16,384	0.06 GiB	1.37 GiB	21.77×
32,768	0.06 GiB	2.74 GiB	43.53×
65,536	0.06 GiB	5.48 GiB	87.07×
131,072	0.06 GiB	10.97 GiB	174.14×