DeepSeek V4 Flash vs GLM 4.7
DeepSeek V4 Flash and GLM 4.7 match in llmrun Score, with values of 109.3 versus 108.3; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4 Flash290.9B · 14.1B active · 1M context · MIT · Apr 2026
Model B · Z.ai
GLM 4.7358.3B · 35.6B active · 198K context · MIT · Dec 2025
Choose DeepSeek V4 Flash if you want…
Stronger at reasoning
111.8 vs 104.3
Fits a Mac 128 GB
IQ3_S · 124.1 GB; GLM 4.7 needs 101.4 GB at its smallest quant
Lighter on memory
174.9 vs 215.6 GB at Q4_K_M
Longer context window
1M vs 198K tokens
Newer release
Apr 2026 vs Dec 2025
Choose GLM 4.7 if you want…
Also does function-calling
DeepSeek V4 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 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 4.7
Doesn't fit
smallest quant needs 101.4 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4 Flash
IQ3_S · ~41 tok/s
124.1 GB · up to 32Kbetter quant
GLM 4.7
IQ2_M · ~20 tok/s
123.8 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
GLM 4.7
Coding
DeepSeek V4 Flash
GLM 4.7
Agents
DeepSeek V4 Flash
no data
GLM 4.7
Math
DeepSeek V4 Flash
no data
GLM 4.7
Science
DeepSeek V4 Flash
GLM 4.7
Reasoning
DeepSeek V4 Flash
GLM 4.7
DeepSeek V4 Flash · #26 of 92 open models · #12 of 71 that fit ≤192 GB
GLM 4.7 · #29 of 92 open models · #18 of 77 that fit ≤256 GB
Benchmarks
5 shared boards: DeepSeek V4 Flash leads 2, GLM 4.7 leads 2 · Benchmarks imported Oct 2026
DeepSeek V4 Flash
1438.6#21/186 open
ArenaLMArena · Oct 2026
GLM 4.7
1441.2#18/186 open
ArenaLMArena · Oct 2026
DeepSeek V4 Flash
1581.5#12/50 open
ArenaLMArena · Oct 2026
GLM 4.7
1435.0#22/50 open
ArenaLMArena · Oct 2026
DeepSeek V4 Flash
44.9%#21/65 open
Lab-reportedEpoch AI · Apr 2026
GLM 4.7
45.1%#20/65 open
Lab-reportedEpoch AI · Dec 2025
DeepSeek V4 Flash
46.3%#11/25 open
IndependentEpoch AI · Apr 2026
GLM 4.7
47.7%#9/25 open
IndependentEpoch AI · Dec 2025
DeepSeek V4 Flash
7.1%#14/65 open
Lab-reportedEpoch AI · Apr 2026
GLM 4.7
1.7%#28/65 open
Lab-reportedEpoch AI · Dec 2025
16 more boards (other shared and single-model boards)
DeepSeek V4 Flash
678.2#22/42 open
Lab-reportedEpoch AI · Apr 2026
GLM 4.7
399.5#34/42 open
Lab-reportedEpoch AI · Dec 2025
Only DeepSeek V4 Flash (6)
- LiveBench Coding69.2
- LiveBench Reasoning70.6
- LiveBench Math79.7
- WeirdML45.6%
- DTBench86.4%
- LMCA35.9%
Only GLM 4.7 (9)
- GPQA Diamond83.3%
- AIME 2024/202583.3%
- Terminal-Bench33.4%
- SimpleQA32.2%
- Chess Puzzles6.0%
- CL-bench15.9%
- CL-bench Life10.9%
- Vending-Bench 22376.8
- ProofBench6.0%
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 Flash
124 GB107.0 GB file
32K 124 GB · 128K 125 GB
GLM 4.7
153 GB131.2 GB file
32K 158 GB · 128K 173 GB
Q3_K_S
DeepSeek V4 Flash
not listed
GLM 4.7
157 GB155.0 GB file
32K 162 GB · 128K 178 GB
Q3_K_M
DeepSeek V4 Flash
142 GB129.3 GB file
32K 143 GB · 128K 144 GB
GLM 4.7
175 GB171.3 GB file
32K 180 GB · 128K 196 GB
Q4_0
DeepSeek V4 Flash
not listed
GLM 4.7
180 GB203.0 GB file
32K 185 GB · 128K 200 GB
Q4_K_M
DeepSeek V4 Flash
175 GB174.9 GB file
32K 175 GB · 128K 176 GB
GLM 4.7
216 GB216.5 GB file
32K 220 GB · 128K 236 GB
Q5_K_M
DeepSeek V4 Flash
208 GB~207.3 GB file
32K 208 GB · 128K 209 GB
GLM 4.7
256 GB254.2 GB file
32K 261 GB · 128K 276 GB
Q6_K
DeepSeek V4 Flash
240 GB~240.0 GB file
32K 241 GB · 128K 242 GB
GLM 4.7
296 GB294.4 GB file
32K 301 GB · 128K 317 GB
Q8_0
DeepSeek V4 Flash
291 GB302.3 GB file
32K 292 GB · 128K 293 GB
GLM 4.7
359 GB381.0 GB file
32K 364 GB · 128K 379 GB
17 more quants
IQ2_XXS
DeepSeek V4 Flash
80.3 GB90.9 GB file
32K 80.7 GB · 128K 81.8 GB
GLM 4.7
99.2 GB115.9 GB file
32K 104 GB · 128K 119 GB
IQ2_XS
DeepSeek V4 Flash
87.6 GB87.0 GB file
32K 88.0 GB · 128K 89.0 GB
GLM 4.7
108 GB101.5 GB file
32K 113 GB · 128K 128 GB
IQ2_S
DeepSeek V4 Flash
91.2 GB88.0 GB file
32K 91.6 GB · 128K 92.7 GB
GLM 4.7
113 GB102.3 GB file
32K 117 GB · 128K 133 GB
IQ2_M
DeepSeek V4 Flash
98.5 GB90.9 GB file
32K 98.9 GB · 128K 99.9 GB
GLM 4.7
122 GB122.4 GB file
32K 126 GB · 128K 142 GB
IQ3_XXS
DeepSeek V4 Flash
113 GB103.0 GB file
32K 113 GB · 128K 114 GB
GLM 4.7
139 GB145.1 GB file
32K 144 GB · 128K 160 GB
Q2_K_S
DeepSeek V4 Flash
117 GB98.6 GB file
32K 117 GB · 128K 118 GB
GLM 4.7
not listed
IQ3_XS
DeepSeek V4 Flash
not listed
GLM 4.7
148 GB148.7 GB file
32K 153 GB · 128K 169 GB
IQ3_S
DeepSeek V4 Flash
124 GB117.3 GB file
32K 124 GB · 128K 125 GB
GLM 4.7
153 GB154.6 GB file
32K 158 GB · 128K 173 GB
IQ3_M
DeepSeek V4 Flash
not listed
GLM 4.7
162 GB164.8 GB file
32K 167 GB · 128K 182 GB
Q3_K_L
DeepSeek V4 Flash
not listed
GLM 4.7
184 GB170.6 GB file
32K 189 GB · 128K 205 GB
IQ4_XS
DeepSeek V4 Flash
157 GB137.9 GB file
32K 157 GB · 128K 158 GB
GLM 4.7
193 GB191.6 GB file
32K 198 GB · 128K 213 GB
IQ4_NL
DeepSeek V4 Flash
164 GB137.9 GB file
32K 164 GB · 128K 165 GB
GLM 4.7
202 GB202.5 GB file
32K 207 GB · 128K 222 GB
Q4_1
DeepSeek V4 Flash
not listed
GLM 4.7
202 GB224.6 GB file
32K 207 GB · 128K 222 GB
Q4_K_S
DeepSeek V4 Flash
not listed
GLM 4.7
202 GB203.7 GB file
32K 207 GB · 128K 222 GB
Q4_K_L
DeepSeek V4 Flash
not listed
GLM 4.7
220 GB219.1 GB file
32K 225 GB · 128K 240 GB
Q5_K_S
DeepSeek V4 Flash
not listed
GLM 4.7
247 GB247.0 GB file
32K 252 GB · 128K 267 GB
BF16
DeepSeek V4 Flash
582 GB~581.9 GB file
32K 583 GB · 128K 584 GB
GLM 4.7
717 GB716.8 GB file
32K 722 GB · 128K 738 GB
DeepSeek V4 Flash
Ollama · Q4_K_M
ollama run hf.co/teamblobfish/DeepSeek-V4-Flash-GGUF:Q4_K_MGLM 4.7
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-4.7-GGUF:Q4_K_M| Spec | DeepSeek V4 Flash | GLM 4.7 |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 290.9B | 358.3B |
| Active parameters | 14B per token | 36B per token |
| Architecture | DeepseekV4ForCausalLM | Glm4MoeForCausalLM |
| Context | 1M tokens | 198K tokens |
| Modalities | Chat | Chat, Function-calling |
| License | MIT | MIT |
| Released | Apr 2026 | Dec 2025 |
Frequently Asked Questions
Which is better, DeepSeek V4 Flash or GLM 4.7?
DeepSeek V4 Flash and GLM 4.7 match in llmrun Score, with values of 109.3 versus 108.3; neither fits 24 GB. Choose DeepSeek V4 Flash for stronger at reasoning and fits a Mac 128 GB; choose GLM 4.7 for also does function-calling.
Which needs less VRAM, DeepSeek V4 Flash or GLM 4.7?
At Q4_K_M, DeepSeek V4 Flash requires 174.9 GB while GLM 4.7 needs 215.6 GB, making DeepSeek V4 Flash the easier model to run on your local setup.
Can I run DeepSeek V4 Flash or GLM 4.7 on a 16 GB GPU?
DeepSeek V4 Flash does not fit (smallest quant needs 80.5 GB); GLM 4.7 does not fit (smallest quant needs 101.4 GB).
Which has a longer context window, DeepSeek V4 Flash or GLM 4.7?
DeepSeek V4 Flash supports 1,048,576 tokens and GLM 4.7 supports 202,752 tokens.