DeepSeek V4 Pro vs GLM 5.3
GLM 5.3 leads llmrun Score 130.1 to 116.5; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4 Pro1598.8B · 50.7B active · 1M context · MIT · Apr 2026
Model B · Z.ai
GLM 5.3753.3B · 41.8B active · 1M context · Other · Aug 2026
Choose DeepSeek V4 Pro if you want…
More permissive license
MIT vs Other
Choose GLM 5.3 if you want…
Higher llmrun Score
130.1 vs 116.5
Stronger at coding
130.1 vs 110.6
Stronger at reasoning
130.1 vs 117.0
Ahead on the benchmarks
14 of 19 shared boards
Lighter on memory
456.2 vs 959.6 GB at Q4_K_M
Also does function-calling
DeepSeek V4 Pro 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 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Pro
Doesn't fit
smallest quant needs 680 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 Pro
GLM 5.3
Coding
DeepSeek V4 Pro
GLM 5.3
Agents
DeepSeek V4 Pro
no data
GLM 5.3
Math
DeepSeek V4 Pro
GLM 5.3
Science
DeepSeek V4 Pro
GLM 5.3
Reasoning
DeepSeek V4 Pro
GLM 5.3
DeepSeek V4 Pro · #16 of 100 open models · #16 of 99 that fit ≤1 TB
GLM 5.3 · #4 of 100 open models · #3 of 96 that fit ≤512 GB
Benchmarks
19 shared boards: DeepSeek V4 Pro leads 4, GLM 5.3 leads 14 · Benchmarks imported Oct 2026
DeepSeek V4 Pro
90.9%#5/98 open
IndependentEpoch AI · Apr 2026
GLM 5.3
90.9%#7/98 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
70.0#16/19 open
IndependentLiveBench · Jun 2026
GLM 5.3
79.0#4/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Pro
82.7#10/19 open
IndependentLiveBench · Jun 2026
GLM 5.3
85.8#7/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Pro
96.7%#5/86 open
IndependentEpoch AI · Apr 2026
GLM 5.3
91.1%#13/86 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
45.3%#12/17 open
IndependentEpoch AI · Apr 2026
GLM 5.3
68.8%#3/17 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
90.7#3/19 open
IndependentLiveBench · Jun 2026
GLM 5.3
87.9#8/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Pro
50.0%#12/66 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
59.0%#3/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
47.0%#4/17 open
IndependentEpoch AI · Apr 2026
GLM 5.3
41.0%#6/17 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
2.4%#13/13 open
IndependentEpoch AI · Apr 2026
GLM 5.3
29.3%#4/13 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
48.9%#10/46 open
IndependentEpoch AI · Apr 2026
GLM 5.3
75.4%#2/46 open
IndependentEpoch AI · Aug 2026
25 more boards (other shared and single-model boards)
DeepSeek V4 Pro
17.6%#9/12 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
40.1%#3/12 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
1006.1#10/43 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
1317.4#3/43 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
19.0%#12/14 open
IndependentEpoch AI · Apr 2026
GLM 5.3
37.0%#4/14 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
12.9%#9/66 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
19.1%#4/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
90.7%#6/68 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
87.7%#11/68 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
41.2%#8/54 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
55.5%#1/54 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
17.0%#11/18 open
IndependentEpoch AI · Apr 2026
GLM 5.3
33.0%#4/18 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Pro
16.0%#14/26 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
49.0%#8/26 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
3284.5#8/17 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3
8163.6#2/17 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Pro
1457.8#11/187 open
ArenaLMArena · Oct 2026
GLM 5.3
1478.5#3/187 open
ArenaLMArena · Oct 2026
DeepSeek V4 Pro
1464.2#20/52 open
ArenaLMArena · Oct 2026
GLM 5.3
1621.1#6/52 open
ArenaLMArena · Oct 2026
Only DeepSeek V4 Pro (3)
- CL-bench Life13.5%
- ForecastBench55.6
- Surface Evolver Bench40.0%
Only GLM 5.3 (11)
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 Pro
680 GB574.1 GB file
32K 680 GB · 128K 682 GB
GLM 5.3
324 GB~320.2 GB file
32K 323 GB · 128K 332 GB
Q3_K_M
DeepSeek V4 Pro
780 GB748.7 GB file
32K 780 GB · 128K 782 GB
GLM 5.3
371 GB~367.3 GB file
32K 370 GB · 128K 379 GB
Q4_K_M
DeepSeek V4 Pro
960 GB954.6 GB file
32K 960 GB · 128K 961 GB
GLM 5.3
456 GB~452.0 GB file
32K 455 GB · 128K 464 GB
Q5_K_M
DeepSeek V4 Pro
1140 GB~1139.2 GB file
32K 1140 GB · 128K 1141 GB
GLM 5.3
541 GB~536.8 GB file
32K 540 GB · 128K 549 GB
Q6_K
DeepSeek V4 Pro
1319 GB~1319.0 GB file
32K 1320 GB · 128K 1321 GB
GLM 5.3
626 GB~621.5 GB file
32K 625 GB · 128K 634 GB
Q8_0
DeepSeek V4 Pro
1599 GB1671.8 GB file
32K 1600 GB · 128K 1601 GB
GLM 5.3
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
4 more quants
IQ2_M
DeepSeek V4 Pro
not listed
GLM 5.3
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
DeepSeek V4 Pro
not listed
GLM 5.3
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
IQ4_XS
DeepSeek V4 Pro
not listed
GLM 5.3
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
BF16
DeepSeek V4 Pro
3198 GB~3197.7 GB file
32K 3198 GB · 128K 3200 GB
GLM 5.3
1511 GB1508.0 GB file
32K 1510 GB · 128K 1519 GB
DeepSeek V4 Pro
Ollama · Q4_K_M
ollama run hf.co/teamblobfish/DeepSeek-V4-Pro-GGUF:Q4_K_MGLM 5.3
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.3-GGUF| Spec | DeepSeek V4 Pro | GLM 5.3 |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 1598.8B | 753.3B |
| Active parameters | 51B per token | 42B per token |
| Architecture | DeepseekV4ForCausalLM | GlmMoeDsaForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Chat | Chat, Function-calling |
| License | MIT | Other |
| Released | Apr 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4 Pro or GLM 5.3?
GLM 5.3 leads llmrun Score 130.1 to 116.5; neither fits 24 GB. Choose DeepSeek V4 Pro for more permissive license; choose GLM 5.3 for higher llmrun Score and stronger at coding.
Which needs less VRAM, DeepSeek V4 Pro or GLM 5.3?
At Q4_K_M, DeepSeek V4 Pro requires 959.6 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 Pro or GLM 5.3 on a 16 GB GPU?
DeepSeek V4 Pro does not fit (smallest quant needs 680 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).
Which has a longer context window, DeepSeek V4 Pro or GLM 5.3?
DeepSeek V4 Pro supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.