DeepSeek V4 Flash 0731 vs GLM 4.6
DeepSeek V4 Flash 0731 leads llmrun Score 127.6 to 103.1; 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 4.6356.8B · 34B active · 198K context · MIT · Sep 2025
Choose DeepSeek V4 Flash 0731 if you want…
Higher llmrun Score
127.6 vs 103.1
Stronger at coding
120.8 vs 96.0
Stronger at science
124.3 vs 99.8
Ahead on the benchmarks
3 of 3 shared boards
Longer context window
1M vs 198K tokens
Newer release
Jul 2026 vs Sep 2025
Choose GLM 4.6 if you want…
Also does 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 4.6
Doesn't fit
smallest quant needs 101 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Flash 0731
Doesn't fit
smallest quant needs 84.1 GB
GLM 4.6
Doesn't fit
smallest quant needs 101 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 4.6
IQ2_M · ~21 tok/s
123.3 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 4.6
Coding
DeepSeek V4 Flash 0731
GLM 4.6
Agents
DeepSeek V4 Flash 0731
no data
GLM 4.6
Math
DeepSeek V4 Flash 0731
GLM 4.6
no data
Science
DeepSeek V4 Flash 0731
GLM 4.6
Reasoning
DeepSeek V4 Flash 0731
GLM 4.6
no data
DeepSeek V4 Flash 0731 · #7 of 100 open models · #2 of 78 that fit ≤192 GB
GLM 4.6 · #45 of 100 open models · #32 of 84 that fit ≤256 GB
Benchmarks
3 shared boards: DeepSeek V4 Flash 0731 leads 3, GLM 4.6 leads 0 · Benchmarks imported Oct 2026
DeepSeek V4 Flash 0731
49.9%#13/66 open
Lab-reportedEpoch AI · Jul 2026
GLM 4.6
38.4%#35/66 open
Lab-reportedEpoch AI · Sep 2025
DeepSeek V4 Flash 0731
1306.1#4/43 open
Lab-reportedEpoch AI · Jul 2026
GLM 4.6
340.8#38/43 open
Lab-reportedEpoch AI · Sep 2025
DeepSeek V4 Flash 0731
16.6%#6/66 open
Lab-reportedEpoch AI · Jul 2026
GLM 4.6
1.1%#33/66 open
Lab-reportedEpoch AI · Sep 2025
23 more boards (other shared and single-model boards)
Only DeepSeek V4 Flash 0731 (18)
- GPQA Diamond91.0%
- LiveBench Coding75.0
- LiveBench Reasoning86.6
- AIME 2024/202594.4%
- FrontierMath57.5%
- LiveBench Math86.8
- ARC-AGI-261.4%
- ARC-AGI89.0%
- SimpleQA33.6%
- SimpleBench61.1%
- FrontierMath Tier 424.4%
- WeirdML63.0%
- FrontierCode18.8%
- Chess Puzzles32.0%
- DTBench90.9%
- LMCA41.7%
- Mystery Game Puzzles34.0%
- ProofBench56.0%
Only GLM 4.6 (5)
- SWE-bench Verified68.2%
- LMArena Text1424.1
- Terminal-Bench24.5%
- LMArena WebDev1341.1
- SWE-bench Bash Only55.4%
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 4.6
152 GB130.7 GB file
32K 157 GB · 128K 173 GB
Q3_K_S
DeepSeek V4 Flash 0731
not listed
GLM 4.6
157 GB154.4 GB file
32K 162 GB · 128K 177 GB
Q3_K_M
DeepSeek V4 Flash 0731
149 GB128.1 GB file
32K 149 GB · 128K 150 GB
GLM 4.6
175 GB170.6 GB file
32K 179 GB · 128K 195 GB
Q4_0
DeepSeek V4 Flash 0731
not listed
GLM 4.6
179 GB202.2 GB file
32K 184 GB · 128K 199 GB
Q4_K_M
DeepSeek V4 Flash 0731
183 GB~182.5 GB file
32K 183 GB · 128K 184 GB
GLM 4.6
215 GB215.6 GB file
32K 220 GB · 128K 235 GB
Q5_K_M
DeepSeek V4 Flash 0731
217 GB~216.7 GB file
32K 217 GB · 128K 218 GB
GLM 4.6
255 GB253.2 GB file
32K 260 GB · 128K 275 GB
Q6_K
DeepSeek V4 Flash 0731
251 GB~250.9 GB file
32K 252 GB · 128K 253 GB
GLM 4.6
295 GB293.1 GB file
32K 300 GB · 128K 315 GB
Q8_0
DeepSeek V4 Flash 0731
305 GB~304.2 GB file
32K 305 GB · 128K 306 GB
GLM 4.6
357 GB379.3 GB file
32K 362 GB · 128K 378 GB
16 more quants
IQ2_XXS
DeepSeek V4 Flash 0731
84.0 GB90.9 GB file
32K 84.3 GB · 128K 85.4 GB
GLM 4.6
98.7 GB115.4 GB file
32K 104 GB · 128K 119 GB
IQ2_XS
DeepSeek V4 Flash 0731
91.6 GB88.1 GB file
32K 91.9 GB · 128K 93.0 GB
GLM 4.6
108 GB101.0 GB file
32K 112 GB · 128K 128 GB
IQ2_S
DeepSeek V4 Flash 0731
95.4 GB93.4 GB file
32K 95.7 GB · 128K 96.8 GB
GLM 4.6
112 GB101.9 GB file
32K 117 GB · 128K 132 GB
IQ2_M
DeepSeek V4 Flash 0731
103 GB90.9 GB file
32K 103 GB · 128K 104 GB
GLM 4.6
121 GB121.9 GB file
32K 126 GB · 128K 141 GB
IQ3_XXS
DeepSeek V4 Flash 0731
118 GB104.2 GB file
32K 119 GB · 128K 120 GB
GLM 4.6
139 GB144.7 GB file
32K 144 GB · 128K 159 GB
Q2_K_S
DeepSeek V4 Flash 0731
122 GB98.6 GB file
32K 122 GB · 128K 123 GB
GLM 4.6
not listed
IQ3_XS
DeepSeek V4 Flash 0731
126 GB118.2 GB file
32K 126 GB · 128K 127 GB
GLM 4.6
148 GB148.2 GB file
32K 153 GB · 128K 168 GB
IQ3_S
DeepSeek V4 Flash 0731
130 GB116.1 GB file
32K 130 GB · 128K 131 GB
GLM 4.6
not listed
IQ3_M
DeepSeek V4 Flash 0731
137 GB135.8 GB file
32K 138 GB · 128K 139 GB
GLM 4.6
161 GB164.3 GB file
32K 166 GB · 128K 181 GB
Q3_K_L
DeepSeek V4 Flash 0731
not listed
GLM 4.6
183 GB169.9 GB file
32K 188 GB · 128K 204 GB
IQ4_XS
DeepSeek V4 Flash 0731
164 GB136.7 GB file
32K 164 GB · 128K 165 GB
GLM 4.6
192 GB190.7 GB file
32K 197 GB · 128K 213 GB
IQ4_NL
DeepSeek V4 Flash 0731
171 GB136.7 GB file
32K 172 GB · 128K 173 GB
GLM 4.6
201 GB201.6 GB file
32K 206 GB · 128K 222 GB
Q4_1
DeepSeek V4 Flash 0731
not listed
GLM 4.6
201 GB223.6 GB file
32K 206 GB · 128K 222 GB
Q4_K_S
DeepSeek V4 Flash 0731
not listed
GLM 4.6
201 GB202.8 GB file
32K 206 GB · 128K 222 GB
Q5_K_S
DeepSeek V4 Flash 0731
not listed
GLM 4.6
246 GB245.9 GB file
32K 251 GB · 128K 266 GB
BF16
DeepSeek V4 Flash 0731
609 GB~608.4 GB file
32K 609 GB · 128K 610 GB
GLM 4.6
714 GB713.7 GB file
32K 719 GB · 128K 734 GB
DeepSeek V4 Flash 0731
Ollama · Q4_K_M
ollama run hf.co/unsloth/DeepSeek-V4-Flash-0731-GGUFGLM 4.6
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-4.6-GGUF:Q4_K_M| Spec | DeepSeek V4 Flash 0731 | GLM 4.6 |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 304.2B | 356.8B |
| Active parameters | 27B per token | 34B per token |
| Architecture | DeepseekV4ForCausalLM | Glm4MoeForCausalLM |
| Context | 1M tokens | 198K tokens |
| Modalities | Chat | Chat, Function-calling |
| License | MIT | MIT |
| Released | Jul 2026 | Sep 2025 |
Frequently Asked Questions
Which is better, DeepSeek V4 Flash 0731 or GLM 4.6?
DeepSeek V4 Flash 0731 leads llmrun Score 127.6 to 103.1; neither fits 24 GB. Choose DeepSeek V4 Flash 0731 for higher llmrun Score and stronger at coding; choose GLM 4.6 for also does function-calling.
Which needs less VRAM, DeepSeek V4 Flash 0731 or GLM 4.6?
At Q4_K_M, DeepSeek V4 Flash 0731 requires 182.8 GB while GLM 4.6 needs 214.7 GB, making DeepSeek V4 Flash 0731 the easier model to run on your local setup.
Can I run DeepSeek V4 Flash 0731 or GLM 4.6 on a 16 GB GPU?
DeepSeek V4 Flash 0731 does not fit (smallest quant needs 84.1 GB); GLM 4.6 does not fit (smallest quant needs 101 GB).
Which has a longer context window, DeepSeek V4 Flash 0731 or GLM 4.6?
DeepSeek V4 Flash 0731 supports 1,048,576 tokens and GLM 4.6 supports 202,752 tokens.