DeepSeek V4 Flash 0731 vs GLM 5.3 Flash
DeepSeek V4 Flash 0731 leads llmrun Score 127.6 to 124.2 (ranges overlap); neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4 Flash 0731304.2B · 27.4B active · 1M context · MIT · Jul 2026
Model B · Z.ai
GLM 5.3 Flash321.3B · 18.3B active · 1M context · MIT · Aug 2026
Choose DeepSeek V4 Flash 0731 if you want…
Higher llmrun Score
127.6 vs 124.2, ranges overlap
Stronger at math
128.1 vs 121.4
Ahead on the benchmarks
11 of 16 shared boards
Also does chat
GLM 5.3 Flash doesn't list it
Choose GLM 5.3 Flash if you want…
Also does vision, function-calling
DeepSeek V4 Flash 0731 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 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Flash 0731
Q2_K_S · ~27 tok/s
122.2 GB · up to 128K
GLM 5.3 Flash
IQ2_S · ~41 tok/s
112.8 GB · up to 16K
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
DeepSeek V4 Flash 0731
GLM 5.3 Flash
Coding
DeepSeek V4 Flash 0731
GLM 5.3 Flash
Agents
DeepSeek V4 Flash 0731
no data
GLM 5.3 Flash
Math
DeepSeek V4 Flash 0731
GLM 5.3 Flash
Science
DeepSeek V4 Flash 0731
GLM 5.3 Flash
Reasoning
DeepSeek V4 Flash 0731
GLM 5.3 Flash
DeepSeek V4 Flash 0731 · #7 of 100 open models · #2 of 78 that fit ≤192 GB
GLM 5.3 Flash · #9 of 100 open models · #4 of 84 that fit ≤256 GB
Benchmarks
16 shared boards: DeepSeek V4 Flash 0731 leads 11, GLM 5.3 Flash leads 5 · Benchmarks imported Oct 2026
DeepSeek V4 Flash 0731
91.0%#4/98 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
90.1%#9/98 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
75.0#10/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
79.0#5/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Flash 0731
86.6#4/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
77.6#15/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Flash 0731
94.4%#8/86 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
93.9%#9/86 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
57.5%#7/17 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
55.8%#9/17 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
86.8#10/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
81.2#15/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Flash 0731
61.4%#3/19 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
65.8%#2/19 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
49.9%#13/66 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.3 Flash
51.6%#6/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
89.0%#5/19 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
91.0%#3/19 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
24.4%#8/13 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
17.1%#10/13 open
IndependentEpoch AI · Aug 2026
25 more boards (other shared and single-model boards)
DeepSeek V4 Flash 0731
18.8%#8/12 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.3 Flash
31.8%#4/12 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
1306.1#4/43 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.3 Flash
303.6#39/43 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
32.0%#5/14 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
21.0%#9/14 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
16.6%#6/66 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.3 Flash
15.4%#7/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
34.0%#3/18 open
IndependentEpoch AI · Jul 2026
GLM 5.3 Flash
8.0%#15/18 open
IndependentEpoch AI · Aug 2026
DeepSeek V4 Flash 0731
56.0%#5/26 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.3 Flash
21.0%#12/26 open
Lab-reportedEpoch AI · Aug 2026
Only DeepSeek V4 Flash 0731 (5)
- SimpleQA33.6%
- SimpleBench61.1%
- WeirdML63.0%
- DTBench90.9%
- LMCA41.7%
Only GLM 5.3 Flash (14)
- LMArena Text1473.8
- LMArena WebDev1605.5
- DeepSWE63.4%
- APEX-Agents52.8%
- LiveBench 2026 Reasoning77.6
- LiveBench 2026 Browser84.0
- LiveBench 2026 Data Analysis76.4
- CursorBench36.8%
- FrontierSWE18.1%
- LiveBench 2026 Coding80.6
- LiveBench 2026 Long-Horizon28.4
- Surface Evolver Bench52.5%
- LiveBench 2026 Design77.2
- LiveBench 2026 Research70.1
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 Flash 0731
130 GB117.3 GB file
32K 130 GB · 128K 131 GB
GLM 5.3 Flash
138 GB114.2 GB file
32K 161 GB · 128K 234 GB
Q3_K_M
DeepSeek V4 Flash 0731
149 GB128.1 GB file
32K 149 GB · 128K 150 GB
GLM 5.3 Flash
158 GB149.1 GB file
32K 181 GB · 128K 254 GB
Q4_K_M
DeepSeek V4 Flash 0731
183 GB~182.5 GB file
32K 183 GB · 128K 184 GB
GLM 5.3 Flash
195 GB188.7 GB file
32K 217 GB · 128K 290 GB
Q5_K_M
DeepSeek V4 Flash 0731
217 GB~216.7 GB file
32K 217 GB · 128K 218 GB
GLM 5.3 Flash
231 GB~228.9 GB file
32K 253 GB · 128K 326 GB
Q6_K
DeepSeek V4 Flash 0731
251 GB~250.9 GB file
32K 252 GB · 128K 253 GB
GLM 5.3 Flash
267 GB~265.1 GB file
32K 290 GB · 128K 362 GB
Q8_0
DeepSeek V4 Flash 0731
305 GB~304.2 GB file
32K 305 GB · 128K 306 GB
GLM 5.3 Flash
323 GB341.0 GB file
32K 346 GB · 128K 418 GB
12 more quants
IQ2_XXS
DeepSeek V4 Flash 0731
84.0 GB90.9 GB file
32K 84.3 GB · 128K 85.4 GB
GLM 5.3 Flash
90.2 GB101.8 GB file
32K 113 GB · 128K 185 GB
IQ2_XS
DeepSeek V4 Flash 0731
91.6 GB88.1 GB file
32K 91.9 GB · 128K 93.0 GB
GLM 5.3 Flash
not listed
IQ2_S
DeepSeek V4 Flash 0731
95.4 GB93.4 GB file
32K 95.7 GB · 128K 96.8 GB
GLM 5.3 Flash
102 GB113.6 GB file
32K 125 GB · 128K 197 GB
IQ2_M
DeepSeek V4 Flash 0731
103 GB90.9 GB file
32K 103 GB · 128K 104 GB
GLM 5.3 Flash
not listed
IQ3_XXS
DeepSeek V4 Flash 0731
118 GB104.2 GB file
32K 119 GB · 128K 120 GB
GLM 5.3 Flash
126 GB120.4 GB file
32K 149 GB · 128K 221 GB
Q2_K_S
DeepSeek V4 Flash 0731
122 GB98.6 GB file
32K 122 GB · 128K 123 GB
GLM 5.3 Flash
not listed
IQ3_XS
DeepSeek V4 Flash 0731
126 GB118.2 GB file
32K 126 GB · 128K 127 GB
GLM 5.3 Flash
not listed
IQ3_S
DeepSeek V4 Flash 0731
130 GB116.1 GB file
32K 130 GB · 128K 131 GB
GLM 5.3 Flash
not listed
IQ3_M
DeepSeek V4 Flash 0731
137 GB135.8 GB file
32K 138 GB · 128K 139 GB
GLM 5.3 Flash
not listed
IQ4_XS
DeepSeek V4 Flash 0731
164 GB136.7 GB file
32K 164 GB · 128K 165 GB
GLM 5.3 Flash
175 GB156.8 GB file
32K 197 GB · 128K 270 GB
IQ4_NL
DeepSeek V4 Flash 0731
171 GB136.7 GB file
32K 172 GB · 128K 173 GB
GLM 5.3 Flash
not listed
BF16
DeepSeek V4 Flash 0731
609 GB~608.4 GB file
32K 609 GB · 128K 610 GB
GLM 5.3 Flash
644 GB641.6 GB file
32K 667 GB · 128K 740 GB
DeepSeek V4 Flash 0731
Ollama · Q4_K_M
ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUFGLM 5.3 Flash
Ollama · Q4_K_M
ollama run hf.co/batiai/GLM-5.3-Flash-GGUF:Q4_K_M| Spec | DeepSeek V4 Flash 0731 | GLM 5.3 Flash |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 304.2B | 321.3B |
| Active parameters | 27B per token | 18B per token |
| Architecture | DeepseekV4ForCausalLM | Glm5NextForConditionalGeneration |
| Context | 1M tokens | 1M tokens |
| Modalities | Chat | Vision, Function-calling |
| License | MIT | MIT |
| Released | Jul 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4 Flash 0731 or GLM 5.3 Flash?
DeepSeek V4 Flash 0731 leads llmrun Score 127.6 to 124.2 (ranges overlap); neither fits 24 GB. Choose DeepSeek V4 Flash 0731 for higher llmrun Score and stronger at math; choose GLM 5.3 Flash for also does vision, function-calling.
Which needs less VRAM, DeepSeek V4 Flash 0731 or GLM 5.3 Flash?
At Q4_K_M, DeepSeek V4 Flash 0731 requires 182.8 GB while GLM 5.3 Flash needs 194.6 GB, making DeepSeek V4 Flash 0731 the easier model to run on your local setup.
Can I run DeepSeek V4 Flash 0731 or GLM 5.3 Flash on a 16 GB GPU?
DeepSeek V4 Flash 0731 does not fit (smallest quant needs 84.1 GB); GLM 5.3 Flash does not fit (smallest quant needs 100.7 GB).
Which has a longer context window, DeepSeek V4 Flash 0731 or GLM 5.3 Flash?
DeepSeek V4 Flash 0731 supports 1,048,576 tokens and GLM 5.3 Flash supports 1,048,576 tokens.