DeepSeek R1 vs GLM 4.5
GLM 4.5 leads llmrun Score 100.9 to 98.9 (ranges overlap); neither fits 24 GB.
Model A · DeepSeek
DeepSeek R1684.5B · 40.1B active · 160K context · MIT · Jan 2025
Model B · Z.ai
GLM 4.5358.3B · 35.6B active · 128K context · MIT · Jul 2025
Choose DeepSeek R1 if you want…
Also does reasoning
GLM 4.5 doesn't list it
Choose GLM 4.5 if you want…
Higher llmrun Score
100.9 vs 98.9, ranges overlap
Ahead on the benchmarks
3 of 3 shared boards
Lighter on memory
215.6 vs 414.6 GB at Q4_K_M
Newer release
Jul 2025 vs Jan 2025
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 R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
Doesn't fit
smallest quant needs 101.4 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
GLM 4.5
IQ2_M · ~20 tok/s
123.8 GB · up to 16Kfits
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
DeepSeek R1
GLM 4.5
Coding
DeepSeek R1
GLM 4.5
Agents
DeepSeek R1
no data
GLM 4.5
Science
DeepSeek R1
GLM 4.5
no data
Reasoning
DeepSeek R1
GLM 4.5
no data
DeepSeek R1 · #50 of 92 open models · #47 of 88 that fit ≤512 GB
GLM 4.5 · #44 of 92 open models · #31 of 77 that fit ≤256 GB
DeepSeek R1
1398.1#50/186 open
ArenaLMArena · Oct 2026
GLM 4.5
1411.0#42/186 open
ArenaLMArena · Oct 2026
DeepSeek R1
84.0%#12/144 open
IndependentTIGER-Lab
GLM 4.5
84.6%#10/144 open
IndependentTIGER-Lab
DeepSeek R1
36.5%#32/46 open
IndependentEpoch AI · Jan 2025
GLM 4.5
40.6%#22/46 open
IndependentEpoch AI · Aug 2025
16 more boards (other shared and single-model boards)
DeepSeek R1
69.4%#7/25 open
IndependentEpoch AI · Jan 2025
GLM 4.5
58.3%#14/25 open
IndependentEpoch AI · Jul 2025
Only DeepSeek R1 (11)
- GPQA Diamond69.2%
- AIME 2024/202553.3%
- ARC-AGI-21.3%
- Aider Polyglot56.9%
- SciCode35.7%
- ARC-AGI15.8%
- SimpleBench30.9%
- MATH Level 593.0%
- CritPt1.1%
- BALROG34.9%
- ForecastBench60.0
Only GLM 4.5 (4)
- SWE-bench Verified64.2%
- Humanity's Last Exam8.3%
- SWE-bench Bash Only54.2%
- ALE-Bench344.8
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 R1
295 GB244.0 GB file
32K 294 GB · 128K 300 GB
GLM 4.5
153 GB131.2 GB file
32K 158 GB · 128K 173 GB
Q3_K_S
DeepSeek R1
303 GB289.1 GB file
32K 302 GB · 128K 309 GB
GLM 4.5
157 GB155.0 GB file
32K 162 GB · 128K 178 GB
Q3_K_M
DeepSeek R1
338 GB319.2 GB file
32K 336 GB · 128K 343 GB
GLM 4.5
175 GB171.3 GB file
32K 180 GB · 128K 196 GB
Q4_0
DeepSeek R1
346 GB379.0 GB file
32K 345 GB · 128K 352 GB
GLM 4.5
180 GB203.0 GB file
32K 185 GB · 128K 200 GB
Q4_K_M
DeepSeek R1
415 GB404.4 GB file
32K 413 GB · 128K 420 GB
GLM 4.5
216 GB216.5 GB file
32K 220 GB · 128K 236 GB
Q5_K_M
DeepSeek R1
492 GB475.4 GB file
32K 490 GB · 128K 497 GB
GLM 4.5
256 GB254.2 GB file
32K 261 GB · 128K 276 GB
Q6_K
DeepSeek R1
569 GB550.8 GB file
32K 567 GB · 128K 574 GB
GLM 4.5
296 GB294.4 GB file
32K 301 GB · 128K 317 GB
Q8_0
DeepSeek R1
688 GB713.3 GB file
32K 687 GB · 128K 694 GB
GLM 4.5
359 GB381.0 GB file
32K 364 GB · 128K 379 GB
14 more quants
IQ2_XXS
DeepSeek R1
192 GB196.2 GB file
32K 191 GB · 128K 198 GB
GLM 4.5
99.2 GB115.9 GB file
32K 104 GB · 128K 119 GB
IQ2_XS
DeepSeek R1
209 GB195.1 GB file
32K 208 GB · 128K 215 GB
GLM 4.5
108 GB101.8 GB file
32K 113 GB · 128K 128 GB
IQ2_S
DeepSeek R1
218 GB197.0 GB file
32K 217 GB · 128K 223 GB
GLM 4.5
113 GB102.7 GB file
32K 117 GB · 128K 133 GB
IQ2_M
DeepSeek R1
235 GB217.4 GB file
32K 234 GB · 128K 241 GB
GLM 4.5
122 GB122.4 GB file
32K 126 GB · 128K 142 GB
IQ3_XXS
DeepSeek R1
269 GB257.9 GB file
32K 268 GB · 128K 275 GB
GLM 4.5
139 GB145.2 GB file
32K 144 GB · 128K 160 GB
IQ3_XS
DeepSeek R1
not listed
GLM 4.5
148 GB148.9 GB file
32K 153 GB · 128K 169 GB
IQ3_M
DeepSeek R1
312 GB292.1 GB file
32K 311 GB · 128K 318 GB
GLM 4.5
162 GB164.9 GB file
32K 167 GB · 128K 182 GB
Q3_K_L
DeepSeek R1
355 GB347.4 GB file
32K 353 GB · 128K 360 GB
GLM 4.5
184 GB170.6 GB file
32K 189 GB · 128K 205 GB
IQ4_XS
DeepSeek R1
372 GB357.1 GB file
32K 371 GB · 128K 377 GB
GLM 4.5
193 GB191.6 GB file
32K 198 GB · 128K 213 GB
IQ4_NL
DeepSeek R1
389 GB378.1 GB file
32K 388 GB · 128K 395 GB
GLM 4.5
202 GB202.5 GB file
32K 207 GB · 128K 222 GB
Q4_1
DeepSeek R1
389 GB419.9 GB file
32K 388 GB · 128K 395 GB
GLM 4.5
202 GB224.6 GB file
32K 207 GB · 128K 222 GB
Q4_K_S
DeepSeek R1
389 GB380.0 GB file
32K 388 GB · 128K 395 GB
GLM 4.5
202 GB203.7 GB file
32K 207 GB · 128K 222 GB
Q5_K_S
DeepSeek R1
474 GB461.8 GB file
32K 473 GB · 128K 480 GB
GLM 4.5
247 GB247.0 GB file
32K 252 GB · 128K 267 GB
BF16
DeepSeek R1
1373 GB1342.3 GB file
32K 1372 GB · 128K 1378 GB
GLM 4.5
717 GB716.8 GB file
32K 722 GB · 128K 738 GB
DeepSeek R1
Ollama · Q4_K_M
ollama run hf.co/unsloth/DeepSeek-R1-GGUF:Q4_K_MGLM 4.5
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-4.5-GGUF:Q4_K_M| Spec | DeepSeek R1 | GLM 4.5 |
|---|---|---|
| Publisher | DeepSeek | Z.ai |
| Parameters | 684.5B | 358.3B |
| Active parameters | 40B per token | 36B per token |
| Architecture | DeepseekV3ForCausalLM | Glm4MoeForCausalLM |
| Context | 160K tokens | 128K tokens |
| Modalities | Chat, Reasoning, Function-calling | Chat, Function-calling |
| License | MIT | MIT |
| Released | Jan 2025 | Jul 2025 |
Frequently Asked Questions
Which is better, DeepSeek R1 or GLM 4.5?
GLM 4.5 leads llmrun Score 100.9 to 98.9 (ranges overlap); neither fits 24 GB. Choose DeepSeek R1 for also does reasoning; choose GLM 4.5 for higher llmrun Score and ahead on the benchmarks.
Which needs less VRAM, DeepSeek R1 or GLM 4.5?
At Q4_K_M, DeepSeek R1 requires 414.6 GB while GLM 4.5 needs 215.6 GB, making GLM 4.5 the easier model to run on your local setup.
Can I run DeepSeek R1 or GLM 4.5 on a 16 GB GPU?
DeepSeek R1 does not fit (smallest quant needs 189.7 GB); GLM 4.5 does not fit (smallest quant needs 101.4 GB).
Which has a longer context window, DeepSeek R1 or GLM 4.5?
DeepSeek R1 supports 163,840 tokens and GLM 4.5 supports 131,072 tokens.