DeepSeek V4.1 Flash vs GLM 5.2
DeepSeek V4.1 Flash leads llmrun Score 129.5 to 122.9; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4.1 Flash763.2B · 188B active · 1M context · MIT · Sep 2026
Model B · Z.ai
GLM 5.2753.3B · 41.8B active · 1M context · MIT · Jun 2026
Choose DeepSeek V4.1 Flash if you want…
Higher llmrun Score
129.5 vs 122.9
Stronger at reasoning
134.0 vs 119.8
Ahead on the benchmarks
14 of 21 shared boards
Also does vision
GLM 5.2 doesn't list it
Choose GLM 5.2 if you want…
Also does chat
DeepSeek V4.1 Flash doesn't list it
On your hardware
Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.
8 GB
RTX 4060 · 8 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
DeepSeek V4.1 Flash
GLM 5.2
Coding
DeepSeek V4.1 Flash
GLM 5.2
Agents
DeepSeek V4.1 Flash
GLM 5.2
Math
DeepSeek V4.1 Flash
GLM 5.2
Science
DeepSeek V4.1 Flash
GLM 5.2
Reasoning
DeepSeek V4.1 Flash
GLM 5.2
DeepSeek V4.1 Flash · #5 of 100 open models · #4 of 96 that fit ≤512 GB
GLM 5.2 · #10 of 100 open models · #8 of 96 that fit ≤512 GB
Benchmarks
21 shared boards: DeepSeek V4.1 Flash leads 14, GLM 5.2 leads 6 · Benchmarks imported Oct 2026
DeepSeek V4.1 Flash
89.8%#11/98 open
IndependentEpoch AI · Sep 2026
GLM 5.2
91.9%#2/98 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
80.0#2/19 open
IndependentLiveBench · Jun 2026
GLM 5.2
79.7#3/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4.1 Flash
86.7#3/19 open
IndependentLiveBench · Jun 2026
GLM 5.2
78.6#13/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4.1 Flash
98.3%#2/86 open
IndependentEpoch AI · Sep 2026
GLM 5.2
86.4%#21/86 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
67.4%#4/17 open
IndependentEpoch AI · Sep 2026
GLM 5.2
59.2%#6/17 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
93.3#2/19 open
IndependentLiveBench · Jun 2026
GLM 5.2
89.8#5/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4.1 Flash
72.9%#1/19 open
IndependentEpoch AI · Sep 2026
GLM 5.2
22.8%#9/19 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
51.8%#5/66 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
51.2%#8/66 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
94.5%#1/19 open
IndependentEpoch AI · Sep 2026
GLM 5.2
77.0%#9/19 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
42.9%#5/17 open
IndependentEpoch AI · Sep 2026
GLM 5.2
34.2%#12/17 open
IndependentEpoch AI · Jun 2026
26 more boards (other shared and single-model boards)
DeepSeek V4.1 Flash
26.8%#5/13 open
IndependentEpoch AI · Sep 2026
GLM 5.2
29.3%#3/13 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
43.9%#2/12 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
24.5%#7/12 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
1092.3#8/43 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
1047.0#9/43 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
39.5%#9/16 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
45.2%#7/16 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
48.0%#1/14 open
IndependentEpoch AI · Sep 2026
GLM 5.2
22.0%#6/14 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
14.3%#8/66 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
20.9%#3/66 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
89.9%#8/68 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
93.6%#2/68 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
47.0%#3/54 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
45.8%#4/54 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
43.0%#1/18 open
IndependentEpoch AI · Sep 2026
GLM 5.2
19.0%#8/18 open
IndependentEpoch AI · Jun 2026
DeepSeek V4.1 Flash
54.0%#6/26 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
35.0%#9/26 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
46.3%#6/13 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.2
55.6%#2/13 open
Lab-reportedEpoch AI · Jun 2026
DeepSeek V4.1 Flash
1474.6#5/187 open
ArenaLMArena · Oct 2026
GLM 5.2
1475.9#4/187 open
ArenaLMArena · Oct 2026
DeepSeek V4.1 Flash
1618.4#7/52 open
ArenaLMArena · Oct 2026
GLM 5.2
1604.6#9/52 open
ArenaLMArena · Oct 2026
Only DeepSeek V4.1 Flash (8)
Only GLM 5.2 (5)
- SimpleBench58.8%
- WeirdML70.1%
- DeepSWE43.8%
- EBR-bench9.5%
- Vending-Bench 28313.8
VRAM by quantization
Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.
Q2_K
DeepSeek V4.1 Flash
325 GB264.5 GB file
32K 325 GB · 128K 326 GB
GLM 5.2
324 GB~320.2 GB file
32K 323 GB · 128K 332 GB
Q3_K_M
DeepSeek V4.1 Flash
372 GB347.3 GB file
32K 373 GB · 128K 374 GB
GLM 5.2
371 GB342.7 GB file
32K 370 GB · 128K 379 GB
Q4_K_M
DeepSeek V4.1 Flash
458 GB444.7 GB file
32K 459 GB · 128K 460 GB
GLM 5.2
456 GB465.8 GB file
32K 455 GB · 128K 464 GB
Q5_K_M
DeepSeek V4.1 Flash
544 GB~543.8 GB file
32K 545 GB · 128K 546 GB
GLM 5.2
541 GB560.8 GB file
32K 540 GB · 128K 549 GB
Q6_K
DeepSeek V4.1 Flash
630 GB~629.6 GB file
32K 630 GB · 128K 632 GB
GLM 5.2
626 GB625.9 GB file
32K 625 GB · 128K 634 GB
Q8_0
DeepSeek V4.1 Flash
764 GB508.0 GB file
32K 764 GB · 128K 765 GB
GLM 5.2
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
11 more quants
IQ2_XXS
DeepSeek V4.1 Flash
210 GB~209.9 GB file
32K 211 GB · 128K 212 GB
GLM 5.2
211 GB238.5 GB file
32K 210 GB · 128K 219 GB
IQ2_XS
DeepSeek V4.1 Flash
not listed
GLM 5.2
230 GB230.0 GB file
32K 229 GB · 128K 238 GB
IQ2_M
DeepSeek V4.1 Flash
not listed
GLM 5.2
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
DeepSeek V4.1 Flash
not listed
GLM 5.2
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
IQ3_XS
DeepSeek V4.1 Flash
315 GB434.0 GB file
32K 316 GB · 128K 317 GB
GLM 5.2
not listed
IQ3_S
DeepSeek V4.1 Flash
not listed
GLM 5.2
324 GB308.6 GB file
32K 323 GB · 128K 332 GB
IQ4_XS
DeepSeek V4.1 Flash
not listed
GLM 5.2
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
IQ4_NL
DeepSeek V4.1 Flash
not listed
GLM 5.2
428 GB372.7 GB file
32K 427 GB · 128K 436 GB
Q4_K_S
DeepSeek V4.1 Flash
not listed
GLM 5.2
428 GB436.4 GB file
32K 427 GB · 128K 436 GB
Q5_K_S
DeepSeek V4.1 Flash
not listed
GLM 5.2
522 GB527.3 GB file
32K 521 GB · 128K 530 GB
BF16
DeepSeek V4.1 Flash
1527 GB~1526.4 GB file
32K 1527 GB · 128K 1528 GB
GLM 5.2
1511 GB1508.0 GB file
32K 1510 GB · 128K 1519 GB
DeepSeek V4.1 Flash
Ollama · Q4_K_M
ollama run hf.co/vcruz305/DeepSeek-V4.1-Flash-GGUF:Q4_K_MGLM 5.2
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.2-GGUF:Q4_K_M| Spec | DeepSeek V4.1 Flash | GLM 5.2 |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 763.2B | 753.3B |
| Active parameters | 188B per token | 42B per token |
| Architecture | DeepseekV41ForCausalLM | GlmMoeDsaForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | MIT | MIT |
| Released | Sep 2026 | Jun 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash or GLM 5.2?
DeepSeek V4.1 Flash leads llmrun Score 129.5 to 122.9; neither fits 24 GB. Choose DeepSeek V4.1 Flash for higher llmrun Score and stronger at reasoning; choose GLM 5.2 for also does chat.
Which needs less VRAM, DeepSeek V4.1 Flash or GLM 5.2?
At Q4_K_M, DeepSeek V4.1 Flash requires 458.3 GB while GLM 5.2 needs 456.2 GB, making GLM 5.2 the easier model to run on your local setup.
Can I run DeepSeek V4.1 Flash or GLM 5.2 on a 16 GB GPU?
DeepSeek V4.1 Flash does not fit (smallest quant needs 210.4 GB); GLM 5.2 does not fit (smallest quant needs 208.9 GB).
Which has a longer context window, DeepSeek V4.1 Flash or GLM 5.2?
DeepSeek V4.1 Flash supports 1,048,576 tokens and GLM 5.2 supports 1,048,576 tokens.