DeepSeek V4.1 Flash 1017 vs GLM 5.3
DeepSeek V4.1 Flash 1017 leads llmrun Score 133.2 to 130.1 (ranges overlap); neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4.1 Flash 1017763.2B · 16B active · 1M context · MIT · Oct 2026
Model B · Z.ai
GLM 5.3753.3B · 41.8B active · 1M context · Other · Aug 2026
Choose DeepSeek V4.1 Flash 1017 if you want…
Higher llmrun Score
133.2 vs 130.1, ranges overlap
Stronger at reasoning
139.8 vs 130.1
Ahead on the benchmarks
10 of 10 shared boards
Also does vision
GLM 5.3 doesn't list it
More permissive license
MIT vs Other
Choose GLM 5.3 if you want…
Also does chat, function-calling
DeepSeek V4.1 Flash 1017 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 1017
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 1017
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 1017
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 1017
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 1017
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 1017
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 1017
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 1017
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 1017
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 1017
GLM 5.3
Coding
DeepSeek V4.1 Flash 1017
no data
GLM 5.3
Agents
DeepSeek V4.1 Flash 1017
no data
GLM 5.3
Math
DeepSeek V4.1 Flash 1017
GLM 5.3
Science
DeepSeek V4.1 Flash 1017
no data
GLM 5.3
Reasoning
DeepSeek V4.1 Flash 1017
GLM 5.3
DeepSeek V4.1 Flash 1017 · #1 of 101 open models · #1 of 98 that fit ≤512 GB
GLM 5.3 · #5 of 101 open models · #4 of 98 that fit ≤512 GB
Benchmarks
10 shared boards: DeepSeek V4.1 Flash 1017 leads 10, GLM 5.3 leads 0 · Benchmarks imported Oct 2026
DeepSeek V4.1 Flash 1017
93.2%#1/99 open
IndependentEpoch AI · Oct 2026
GLM 5.3
90.9%#8/99 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash 1017
99.4%#1/87 open
IndependentEpoch AI · Oct 2026
GLM 5.3
91.1%#14/87 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash 1017
71.2%#2/18 open
IndependentEpoch AI · Oct 2026
GLM 5.3
68.8%#4/18 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash 1017
42.5%#6/18 open
IndependentEpoch AI · Oct 2026
GLM 5.3
41.0%#7/18 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash 1017
46.3%#1/14 open
IndependentEpoch AI · Oct 2026
GLM 5.3
29.3%#5/14 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash 1017
46.0%#2/15 open
IndependentEpoch AI · Oct 2026
GLM 5.3
37.0%#5/15 open
IndependentEpoch AI · Aug 2026
DeepSeek V4.1 Flash 1017
96.0#1/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
82.8#5/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
50.9#1/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
35.9#7/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
89.1#2/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
85.8#4/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
49.0%#1/19 open
IndependentEpoch AI · Oct 2026
GLM 5.3
33.0%#5/19 open
IndependentEpoch AI · Aug 2026
22 more boards (other shared and single-model boards)
DeepSeek V4.1 Flash 1017
1665.0#1/55 open
ArenaLMArena · Oct 2026
GLM 5.3
1622.8#7/55 open
ArenaLMArena · Oct 2026
DeepSeek V4.1 Flash 1017
76.0#5/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
0.0#17/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
79.5#1/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
70.2#11/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
83.4#1/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
77.3#4/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
79.5#3/17 open
IndependentLiveBench · Oct 2026
GLM 5.3
73.2#7/17 open
IndependentLiveBench · Oct 2026
Only GLM 5.3 (17)
- LMArena Text1480.7
- LiveBench Coding79.0
- LiveBench Reasoning85.8
- LiveBench Math87.9
- SciCode59.0%
- WeirdML75.4%
- DeepSWE69.0%
- FrontierCode40.1%
- APEX-Agents56.6%
- CritPt19.1%
- DTBench87.7%
- LMCA55.5%
- Vending-Bench 28163.6
- ALE-Bench1317.4
- CursorBench42.6%
- FrontierSWE30.2%
- ProofBench49.0%
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 1017
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 1017
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 1017
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 1017
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 1017
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 1017
764 GB~763.2 GB file
32K 764 GB · 128K 765 GB
GLM 5.3
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
7 more quants
IQ2_XXS
DeepSeek V4.1 Flash 1017
210 GB300.5 GB file
32K 211 GB · 128K 212 GB
GLM 5.3
not listed
IQ2_XS
DeepSeek V4.1 Flash 1017
229 GB~229.0 GB file
32K 230 GB · 128K 231 GB
GLM 5.3
not listed
IQ2_M
DeepSeek V4.1 Flash 1017
not listed
GLM 5.3
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
DeepSeek V4.1 Flash 1017
296 GB394.7 GB file
32K 296 GB · 128K 298 GB
GLM 5.3
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
IQ3_S
DeepSeek V4.1 Flash 1017
325 GB423.6 GB file
32K 325 GB · 128K 326 GB
GLM 5.3
not listed
IQ4_XS
DeepSeek V4.1 Flash 1017
not listed
GLM 5.3
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
BF16
DeepSeek V4.1 Flash 1017
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 1017
Ollama · Q4_K_M
ollama run hf.co/mrfakename/DeepSeek-V4.1-Flash-1017-GGUF:Q4_K_MGLM 5.3
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.3-GGUF| Spec | DeepSeek V4.1 Flash 1017 | GLM 5.3 |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 763.2B | 753.3B |
| Active parameters | 16B per token | 42B per token |
| Architecture | DeepseekV41ForCausalLM | GlmMoeDsaForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Vision | Chat, Function-calling |
| License | MIT | Other |
| Released | Oct 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash 1017 or GLM 5.3?
DeepSeek V4.1 Flash 1017 leads llmrun Score 133.2 to 130.1 (ranges overlap); neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at reasoning; choose GLM 5.3 for also does chat, function-calling.
Which needs less VRAM, DeepSeek V4.1 Flash 1017 or GLM 5.3?
At Q4_K_M, DeepSeek V4.1 Flash 1017 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 1017 or GLM 5.3 on a 16 GB GPU?
DeepSeek V4.1 Flash 1017 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 1017 or GLM 5.3?
DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.