DeepSeek V4.1 Flash vs GLM 5.3
DeepSeek V4.1 Flash and GLM 5.3 match in llmrun Score, with values of 129.1 versus 130.2; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4.1 Flash763.2B · 188B active · 1M context · MIT · Sep 2026
Model B · Z.ai
GLM 5.3753.3B · 41.8B active · 1M context · Other · Aug 2026
Choose DeepSeek V4.1 Flash if you want…
Also does vision
GLM 5.3 doesn't list it
More permissive license
MIT vs Other
Choose GLM 5.3 if you want…
Stronger at coding
130.5 vs 119.0
Stronger at science
130.8 vs 122.9
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 5.3
Doesn't fit
smallest quant needs 256 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash
Doesn't fit
smallest quant needs 210.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 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 5.3
Coding
DeepSeek V4.1 Flash
GLM 5.3
Agents
DeepSeek V4.1 Flash
no data
GLM 5.3
Math
DeepSeek V4.1 Flash
GLM 5.3
Science
DeepSeek V4.1 Flash
GLM 5.3
Reasoning
DeepSeek V4.1 Flash
GLM 5.3
DeepSeek V4.1 Flash · #6 of 107 open models · #4 of 103 that fit ≤512 GB
GLM 5.3 · #4 of 107 open models · #3 of 103 that fit ≤512 GB
Benchmarks
17 shared boards: DeepSeek V4.1 Flash leads 9, GLM 5.3 leads 8 · Benchmarks imported Oct 2026
DeepSeek V4.1 Flash
89.8%#11/98 open
IndependentEpoch AI · Sep 2026
GLM 5.3
90.9%#7/98 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash
80.0#2/19 open
IndependentLiveBench · Jun 2026
GLM 5.3
79.0#4/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4.1 Flash
86.7#3/19 open
IndependentLiveBench · Jun 2026
GLM 5.3
85.8#7/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4.1 Flash
98.3%#2/86 open
IndependentEpoch AI · Sep 2026
GLM 5.3
91.1%#13/86 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash
67.4%#4/17 open
IndependentEpoch AI · Sep 2026
GLM 5.3
68.8%#3/17 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash
93.3#2/19 open
IndependentLiveBench · Jun 2026
GLM 5.3
87.9#8/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4.1 Flash
51.8%#5/66 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
59.0%#3/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
42.9%#5/17 open
IndependentEpoch AI · Sep 2026
GLM 5.3
41.0%#6/17 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash
26.8%#5/13 open
IndependentEpoch AI · Sep 2026
GLM 5.3
29.3%#4/13 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash
43.9%#2/12 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
40.1%#3/12 open
Lab-reportedEpoch AI · Aug 2026
19 more boards (other shared and single-model boards)
DeepSeek V4.1 Flash
1092.3#8/43 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
1317.4#3/43 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
39.5%#9/16 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
56.6%#2/16 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
14.3%#8/66 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
19.1%#4/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
89.9%#8/68 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
87.7%#11/68 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
47.0%#3/54 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
55.5%#1/54 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
43.0%#1/18 open
IndependentEpoch AI · Sep 2026
GLM 5.3
33.0%#4/18 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash
54.0%#6/26 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
49.0%#8/26 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4.1 Flash
1474.6#5/187 open
ArenaLMArena · Oct 2026
GLM 5.3
1478.5#3/187 open
ArenaLMArena · Oct 2026
DeepSeek V4.1 Flash
1618.4#7/52 open
ArenaLMArena · Oct 2026
GLM 5.3
1621.1#6/52 open
ArenaLMArena · Oct 2026
Only DeepSeek V4.1 Flash (4)
- ARC-AGI-272.9%
- ARC-AGI94.5%
- Furniture Assembly34.2%
- Surface Evolver Bench46.3%
Only GLM 5.3 (6)
- WeirdML75.4%
- DeepSWE69.0%
- Chess Puzzles21.0%
- Vending-Bench 28163.6
- CursorBench42.6%
- FrontierSWE30.2%
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 5.3
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 5.3
371 GB~367.3 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 5.3
456 GB~452.0 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 5.3
541 GB~536.8 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 5.3
626 GB~621.5 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 5.3
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
6 more quants
IQ2_XXS
DeepSeek V4.1 Flash
210 GB~209.9 GB file
32K 211 GB · 128K 212 GB
GLM 5.3
not listed
IQ2_M
DeepSeek V4.1 Flash
not listed
GLM 5.3
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
DeepSeek V4.1 Flash
not listed
GLM 5.3
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 5.3
not listed
IQ4_XS
DeepSeek V4.1 Flash
not listed
GLM 5.3
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
BF16
DeepSeek V4.1 Flash
1527 GB~1526.4 GB file
32K 1527 GB · 128K 1528 GB
GLM 5.3
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 5.3
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.3-GGUF| Spec | DeepSeek V4.1 Flash | GLM 5.3 |
|---|---|---|
| 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 | Other |
| Released | Sep 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash or GLM 5.3?
DeepSeek V4.1 Flash and GLM 5.3 match in llmrun Score, with values of 129.1 versus 130.2; neither fits 24 GB. Choose DeepSeek V4.1 Flash for also does vision and more permissive license; choose GLM 5.3 for stronger at coding and stronger at science.
Which needs less VRAM, DeepSeek V4.1 Flash or GLM 5.3?
At Q4_K_M, DeepSeek V4.1 Flash requires 458.3 GB while GLM 5.3 needs 456.2 GB, making GLM 5.3 the easier model to run on your local setup.
Can I run DeepSeek V4.1 Flash or GLM 5.3 on a 16 GB GPU?
DeepSeek V4.1 Flash does not fit (smallest quant needs 210.4 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).
Which has a longer context window, DeepSeek V4.1 Flash or GLM 5.3?
DeepSeek V4.1 Flash supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.