DeepSeek R1 0528 vs GLM 4.5

DeepSeek R1 0528 leads llmrun Score 103.7 to 100.9 (ranges overlap); neither fits 24 GB.

Model A · DeepSeek

DeepSeek R1 0528

103.7llmrun Score

684.5B · 40.1B active · 160K context · MIT · May 2025

ChatReasoningFunctions

Model B · Z.ai

GLM 4.5

100.9llmrun Score

358.3B · 35.6B active · 128K context · MIT · Jul 2025

ChatFunctions

Which should you choose?

Choose DeepSeek R1 0528 if you want…

Higher llmrun Score
103.7 vs 100.9, ranges overlap
Stronger at coding
107.3 vs 98.7
Also does reasoning
GLM 4.5 doesn't list it

Choose GLM 4.5 if you want…

Lighter on memory
215.6 vs 414.6 GB at Q4_K_M

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

MemoryDeepSeek R1 0528GLM 4.5

8 GB

RTX 4060 · 8 GB tier

DeepSeek R1 0528

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 0528

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 0528

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 0528

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 0528

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 0528

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 0528

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 0528

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 0528

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).

llmrun Score

with its 90% range · bars share one scale

DeepSeek R1 0528 GLM 4.5

Overall

DeepSeek R1 0528

103.7101–106

GLM 4.5

100.997–105

Coding

DeepSeek R1 0528

107.3102–113

GLM 4.5

98.789–108

Agents

DeepSeek R1 0528

no data

GLM 4.5

105.499–112

Reasoning

DeepSeek R1 0528

100.094–106

GLM 4.5

no data

DeepSeek R1 0528 · #40 of 92 open models · #37 of 88 that fit ≤512 GB

GLM 4.5 · #44 of 92 open models · #31 of 77 that fit ≤256 GB

Benchmarks

3 shared boards: DeepSeek R1 0528 leads 2, GLM 4.5 leads 1 · Benchmarks imported Oct 2026

BoardDeepSeek R1 0528GLM 4.5

LMArena Text

DeepSeek R1 0528

1421.4#33/186 open

ArenaLMArena · Oct 2026

GLM 4.5

1411.0#42/186 open

ArenaLMArena · Oct 2026

MMLU-Pro

DeepSeek R1 0528

83.4%#13/144 open

IndependentTIGER-Lab

GLM 4.5

84.6%#10/144 open

IndependentTIGER-Lab

WeirdML

DeepSeek R1 0528

41.6%#18/46 open

IndependentEpoch AI · May 2025

GLM 4.5

40.6%#22/46 open

IndependentEpoch AI · Aug 2025

12 more boards (other shared and single-model boards)

ALE-Bench

DeepSeek R1 0528

804.1#17/42 open

Lab-reportedEpoch AI · May 2025

GLM 4.5

344.8#36/42 open

Lab-reportedEpoch AI · Aug 2025

Fiction.LiveBench

DeepSeek R1 0528

75.0%#4/25 open

IndependentEpoch AI · May 2025

GLM 4.5

58.3%#14/25 open

IndependentEpoch AI · Jul 2025

Only DeepSeek R1 0528 (7)

Only GLM 4.5 (3)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

QuantDeepSeek R1 0528GLM 4.5

Q2_K

DeepSeek R1 0528

295 GB237.8 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 0528

303 GB293.4 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 0528

338 GB307.9 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 0528

346 GB386.4 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 0528

415 GB409.2 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 0528

492 GB478.3 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 0528

569 GB552.4 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 0528

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 0528

192 GB164.1 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 0528

209 GB188.4 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 0528

218 GB189.6 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 0528

235 GB215.0 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 0528

269 GB267.6 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 0528

286 GB277.1 GB file

32K 285 GB · 128K 292 GB

GLM 4.5

148 GB148.9 GB file

32K 153 GB · 128K 169 GB

IQ3_M

DeepSeek R1 0528

312 GB307.9 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 0528

355 GB319.7 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 0528

372 GB360.0 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 0528

389 GB380.5 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 0528

389 GB421.0 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 0528

389 GB394.2 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 0528

475 GB463.0 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 0528

1373 GB1342.3 GB file

32K 1372 GB · 128K 1379 GB

GLM 4.5

717 GB716.8 GB file

32K 722 GB · 128K 738 GB

How to run each

DeepSeek R1 0528

Ollama · Q4_K_M

$ollama run hf.co/bartowski/deepseek-ai_DeepSeek-R1-0528-GGUF:Q4_K_M

All ways to run DeepSeek R1 0528 →

GLM 4.5

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-4.5-GGUF:Q4_K_M

All ways to run GLM 4.5 →

Specifications

Specifications of DeepSeek R1 0528 and GLM 4.5
Spec	DeepSeek R1 0528	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	May 2025	Jul 2025

Frequently Asked Questions

Which is better, DeepSeek R1 0528 or GLM 4.5?

DeepSeek R1 0528 leads llmrun Score 103.7 to 100.9 (ranges overlap); neither fits 24 GB. Choose DeepSeek R1 0528 for higher llmrun Score and stronger at coding; choose GLM 4.5 for lighter on memory.

Which needs less VRAM, DeepSeek R1 0528 or GLM 4.5?

At Q4_K_M, DeepSeek R1 0528 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 0528 or GLM 4.5 on a 16 GB GPU?

DeepSeek R1 0528 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 0528 or GLM 4.5?

DeepSeek R1 0528 supports 163,840 tokens and GLM 4.5 supports 131,072 tokens.