DeepSeek V4 Flash vs GLM 5.3 Flash
GLM 5.3 Flash leads llmrun Score 124.2 to 109.3; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4 Flash290.9B · 14.1B active · 1M context · MIT · Apr 2026
Model B · Z.ai
GLM 5.3 Flash321.3B · 18.3B active · 1M context · MIT · Aug 2026
Choose DeepSeek V4 Flash if you want…
Fits a Mac 128 GB
IQ3_S · 124.1 GB; GLM 5.3 Flash needs 100.7 GB at its smallest quant
Also does chat
GLM 5.3 Flash doesn't list it
Choose GLM 5.3 Flash if you want…
Higher llmrun Score
124.2 vs 109.3
Stronger at reasoning
127.4 vs 111.8
Stronger at science
123.7 vs 111.4
Ahead on the benchmarks
5 of 6 shared boards
Also does vision, function-calling
DeepSeek V4 Flash doesn't list it
Newer release
Aug 2026 vs Apr 2026
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 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 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
Doesn't fit
smallest quant needs 80.5 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4 Flash
Doesn't fit
smallest quant needs 80.5 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
Doesn't fit
smallest quant needs 80.5 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
IQ3_S · ~41 tok/s
124.1 GB · up to 32Kbetter quant
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
GLM 5.3 Flash
Coding
DeepSeek V4 Flash
GLM 5.3 Flash
Agents
DeepSeek V4 Flash
no data
GLM 5.3 Flash
Math
DeepSeek V4 Flash
no data
GLM 5.3 Flash
Science
DeepSeek V4 Flash
GLM 5.3 Flash
Reasoning
DeepSeek V4 Flash
GLM 5.3 Flash
DeepSeek V4 Flash · #28 of 100 open models · #13 of 78 that fit ≤192 GB
GLM 5.3 Flash · #9 of 100 open models · #4 of 84 that fit ≤256 GB
Benchmarks
6 shared boards: DeepSeek V4 Flash leads 1, GLM 5.3 Flash leads 5 · Benchmarks imported Oct 2026
DeepSeek V4 Flash
69.2#17/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
79.0#5/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Flash
70.6#18/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
77.6#15/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Flash
79.7#17/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
81.2#15/19 open
IndependentLiveBench · Jun 2026
DeepSeek V4 Flash
44.9%#23/66 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3 Flash
51.6%#6/66 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Flash
678.2#23/43 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3 Flash
303.6#39/43 open
Lab-reportedEpoch AI · Aug 2026
DeepSeek V4 Flash
7.1%#14/66 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.3 Flash
15.4%#7/66 open
Lab-reportedEpoch AI · Aug 2026
28 more boards (other shared and single-model boards)
DeepSeek V4 Flash
1438.7#21/187 open
ArenaLMArena · Oct 2026
GLM 5.3 Flash
1473.8#6/187 open
ArenaLMArena · Oct 2026
DeepSeek V4 Flash
1581.4#12/52 open
ArenaLMArena · Oct 2026
GLM 5.3 Flash
1605.5#8/52 open
ArenaLMArena · Oct 2026
Only DeepSeek V4 Flash (4)
- SimpleBench46.3%
- WeirdML45.6%
- DTBench86.4%
- LMCA35.9%
Only GLM 5.3 Flash (22)
- GPQA Diamond90.1%
- AIME 2024/202593.9%
- FrontierMath55.8%
- ARC-AGI-265.8%
- ARC-AGI91.0%
- FrontierMath Tier 417.1%
- DeepSWE63.4%
- FrontierCode31.8%
- APEX-Agents52.8%
- Chess Puzzles21.0%
- LiveBench 2026 Reasoning77.6
- Mystery Game Puzzles8.0%
- 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
- ProofBench21.0%
- 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
124 GB107.0 GB file
32K 124 GB · 128K 125 GB
GLM 5.3 Flash
138 GB114.2 GB file
32K 161 GB · 128K 234 GB
Q3_K_M
DeepSeek V4 Flash
142 GB129.3 GB file
32K 143 GB · 128K 144 GB
GLM 5.3 Flash
158 GB149.1 GB file
32K 181 GB · 128K 254 GB
Q4_K_M
DeepSeek V4 Flash
175 GB174.9 GB file
32K 175 GB · 128K 176 GB
GLM 5.3 Flash
195 GB188.7 GB file
32K 217 GB · 128K 290 GB
Q5_K_M
DeepSeek V4 Flash
208 GB~207.3 GB file
32K 208 GB · 128K 209 GB
GLM 5.3 Flash
231 GB~228.9 GB file
32K 253 GB · 128K 326 GB
Q6_K
DeepSeek V4 Flash
240 GB~240.0 GB file
32K 241 GB · 128K 242 GB
GLM 5.3 Flash
267 GB~265.1 GB file
32K 290 GB · 128K 362 GB
Q8_0
DeepSeek V4 Flash
291 GB302.3 GB file
32K 292 GB · 128K 293 GB
GLM 5.3 Flash
323 GB341.0 GB file
32K 346 GB · 128K 418 GB
10 more quants
IQ2_XXS
DeepSeek V4 Flash
80.3 GB90.9 GB file
32K 80.7 GB · 128K 81.8 GB
GLM 5.3 Flash
90.2 GB101.8 GB file
32K 113 GB · 128K 185 GB
IQ2_XS
DeepSeek V4 Flash
87.6 GB87.0 GB file
32K 88.0 GB · 128K 89.0 GB
GLM 5.3 Flash
not listed
IQ2_S
DeepSeek V4 Flash
91.2 GB88.0 GB file
32K 91.6 GB · 128K 92.7 GB
GLM 5.3 Flash
102 GB113.6 GB file
32K 125 GB · 128K 197 GB
IQ2_M
DeepSeek V4 Flash
98.5 GB90.9 GB file
32K 98.9 GB · 128K 99.9 GB
GLM 5.3 Flash
not listed
IQ3_XXS
DeepSeek V4 Flash
113 GB103.0 GB file
32K 113 GB · 128K 114 GB
GLM 5.3 Flash
126 GB120.4 GB file
32K 149 GB · 128K 221 GB
Q2_K_S
DeepSeek V4 Flash
117 GB98.6 GB file
32K 117 GB · 128K 118 GB
GLM 5.3 Flash
not listed
IQ3_S
DeepSeek V4 Flash
124 GB117.3 GB file
32K 124 GB · 128K 125 GB
GLM 5.3 Flash
not listed
IQ4_XS
DeepSeek V4 Flash
157 GB137.9 GB file
32K 157 GB · 128K 158 GB
GLM 5.3 Flash
175 GB156.8 GB file
32K 197 GB · 128K 270 GB
IQ4_NL
DeepSeek V4 Flash
164 GB137.9 GB file
32K 164 GB · 128K 165 GB
GLM 5.3 Flash
not listed
BF16
DeepSeek V4 Flash
582 GB~581.9 GB file
32K 583 GB · 128K 584 GB
GLM 5.3 Flash
644 GB641.6 GB file
32K 667 GB · 128K 740 GB
DeepSeek V4 Flash
Ollama · Q4_K_M
ollama run hf.co/teamblobfish/DeepSeek-V4-Flash-GGUF:Q4_K_MGLM 5.3 Flash
Ollama · Q4_K_M
ollama run hf.co/batiai/GLM-5.3-Flash-GGUF:Q4_K_M| Spec | DeepSeek V4 Flash | GLM 5.3 Flash |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 290.9B | 321.3B |
| Active parameters | 14B per token | 18B per token |
| Architecture | DeepseekV4ForCausalLM | Glm5NextForConditionalGeneration |
| Context | 1M tokens | 1M tokens |
| Modalities | Chat | Vision, Function-calling |
| License | MIT | MIT |
| Released | Apr 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4 Flash or GLM 5.3 Flash?
GLM 5.3 Flash leads llmrun Score 124.2 to 109.3; neither fits 24 GB. Choose DeepSeek V4 Flash for fits a Mac 128 GB and also does chat; choose GLM 5.3 Flash for higher llmrun Score and stronger at reasoning.
Which needs less VRAM, DeepSeek V4 Flash or GLM 5.3 Flash?
At Q4_K_M, DeepSeek V4 Flash requires 174.9 GB while GLM 5.3 Flash needs 194.6 GB, making DeepSeek V4 Flash the easier model to run on your local setup.
Can I run DeepSeek V4 Flash or GLM 5.3 Flash on a 16 GB GPU?
DeepSeek V4 Flash does not fit (smallest quant needs 80.5 GB); GLM 5.3 Flash does not fit (smallest quant needs 100.7 GB).
Which has a longer context window, DeepSeek V4 Flash or GLM 5.3 Flash?
DeepSeek V4 Flash supports 1,048,576 tokens and GLM 5.3 Flash supports 1,048,576 tokens.