DeepSeek V3.1 vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 100.2; neither fits 24 GB.

Run GLM 5.3 in the cloud →

Model A · DeepSeek

DeepSeek V3.1

100.2llmrun Score

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

ChatFunctions

Model B · Z.ai

GLM 5.3

130.1llmrun Score

753.3B · 41.8B active · 1M context · Other · Aug 2026

ChatFunctions

Which should you choose?

Choose DeepSeek V3.1 if you want…

More permissive license
MIT vs Other

Choose GLM 5.3 if you want…

Higher llmrun Score
130.1 vs 100.2
Stronger at reasoning
130.1 vs 106.3
Ahead on the benchmarks
3 of 3 shared boards
Longer context window
1M vs 160K tokens
Newer release
Aug 2026 vs Aug 2025

On your hardware

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

MemoryDeepSeek V3.1GLM 5.3

8 GB

RTX 4060 · 8 GB tier

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V3.1

Doesn't fit

smallest quant needs 189.7 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

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 V3.1 GLM 5.3

Overall

DeepSeek V3.1

100.295–105

GLM 5.3

130.1128–132

Coding

DeepSeek V3.1

no data

GLM 5.3

129.9124–136

Agents

DeepSeek V3.1

no data

GLM 5.3

133.5130–137

Math

DeepSeek V3.1

no data

GLM 5.3

128.5126–131

Science

DeepSeek V3.1

no data

GLM 5.3

130.6118–143

Reasoning

DeepSeek V3.1

106.399–114

GLM 5.3

130.1124–136

DeepSeek V3.1 · #56 of 106 open models · #52 of 102 that fit ≤512 GB

GLM 5.3 · #6 of 106 open models · #4 of 102 that fit ≤512 GB

Benchmarks

3 shared boards: DeepSeek V3.1 leads 0, GLM 5.3 leads 3 · Benchmarks imported Nov 2026

BoardDeepSeek V3.1GLM 5.3

WeirdML

DeepSeek V3.1

38.4%#28/47 open

IndependentEpoch AI · Aug 2025

GLM 5.3

75.4%#2/47 open

IndependentEpoch AI · Aug 2026

DTBench

DeepSeek V3.1

82.7%#19/70 open

Lab-reportedEpoch AI · Aug 2025

GLM 5.3

87.7%#12/70 open

Lab-reportedEpoch AI · Aug 2026

LMCA

DeepSeek V3.1

24.3%#31/56 open

Lab-reportedEpoch AI · Aug 2025

GLM 5.3

55.5%#1/56 open

Lab-reportedEpoch AI · Aug 2026

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

LMArena Text

DeepSeek V3.1

1416.9#37/188 open

ArenaLMArena · Oct 2026

GLM 5.3

1480.6#2/188 open

ArenaLMArena · Oct 2026

Only DeepSeek V3.1 (4)

Only GLM 5.3 (28)

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 V3.1GLM 5.3

Q2_K

DeepSeek V3.1

295 GB237.8 GB file

32K 294 GB · 128K 300 GB

GLM 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_S

DeepSeek V3.1

303 GB293.4 GB file

32K 302 GB · 128K 309 GB

GLM 5.3

not listed

Q3_K_M

DeepSeek V3.1

338 GB307.9 GB file

32K 336 GB · 128K 343 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_0

DeepSeek V3.1

346 GB386.4 GB file

32K 345 GB · 128K 352 GB

GLM 5.3

not listed

Q4_K_M

DeepSeek V3.1

415 GB409.2 GB file

32K 413 GB · 128K 420 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

DeepSeek V3.1

492 GB478.3 GB file

32K 490 GB · 128K 497 GB

GLM 5.3

541 GB~536.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

DeepSeek V3.1

569 GB552.4 GB file

32K 567 GB · 128K 574 GB

GLM 5.3

626 GB~621.5 GB file

32K 625 GB · 128K 634 GB

Q8_0

DeepSeek V3.1

688 GB713.3 GB file

32K 687 GB · 128K 694 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

14 more quants

IQ2_XXS

DeepSeek V3.1

192 GB164.1 GB file

32K 191 GB · 128K 198 GB

GLM 5.3

not listed

IQ2_XS

DeepSeek V3.1

209 GB188.4 GB file

32K 208 GB · 128K 215 GB

GLM 5.3

not listed

IQ2_S

DeepSeek V3.1

218 GB189.6 GB file

32K 217 GB · 128K 223 GB

GLM 5.3

not listed

IQ2_M

DeepSeek V3.1

235 GB215.0 GB file

32K 234 GB · 128K 241 GB

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

DeepSeek V3.1

269 GB267.6 GB file

32K 268 GB · 128K 275 GB

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

DeepSeek V3.1

286 GB277.1 GB file

32K 285 GB · 128K 292 GB

GLM 5.3

not listed

IQ3_M

DeepSeek V3.1

312 GB307.9 GB file

32K 311 GB · 128K 318 GB

GLM 5.3

not listed

Q3_K_L

DeepSeek V3.1

355 GB319.7 GB file

32K 353 GB · 128K 360 GB

GLM 5.3

not listed

IQ4_XS

DeepSeek V3.1

372 GB360.0 GB file

32K 371 GB · 128K 377 GB

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

DeepSeek V3.1

389 GB380.5 GB file

32K 388 GB · 128K 395 GB

GLM 5.3

not listed

Q4_1

DeepSeek V3.1

389 GB421.0 GB file

32K 388 GB · 128K 395 GB

GLM 5.3

not listed

Q4_K_S

DeepSeek V3.1

389 GB394.2 GB file

32K 388 GB · 128K 395 GB

GLM 5.3

not listed

Q5_K_S

DeepSeek V3.1

475 GB462.6 GB file

32K 473 GB · 128K 480 GB

GLM 5.3

not listed

BF16

DeepSeek V3.1

1373 GB1342.3 GB file

32K 1372 GB · 128K 1379 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

DeepSeek V3.1

Ollama · Q4_K_M

$ollama run hf.co/bartowski/deepseek-ai_DeepSeek-V3.1-GGUF:Q4_K_M

All ways to run DeepSeek V3.1 →

GLM 5.3

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-5.3-GGUF

All ways to run GLM 5.3 →

Specifications

Specifications of DeepSeek V3.1 and GLM 5.3
Spec	DeepSeek V3.1	GLM 5.3
Publisher	DeepSeek	Z.ai
Parameters	684.5B	753.3B
Active parameters	40B per token	42B per token
Architecture	DeepseekV3ForCausalLM	GlmMoeDsaForCausalLM
Context	160K tokens	1M tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	MIT	Other
Released	Aug 2025	Aug 2026

Frequently Asked Questions

Which is better, DeepSeek V3.1 or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 100.2; neither fits 24 GB. Choose DeepSeek V3.1 for more permissive license; choose GLM 5.3 for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, DeepSeek V3.1 or GLM 5.3?

At Q4_K_M, DeepSeek V3.1 requires 414.6 GB while GLM 5.3 needs 456.2 GB, making DeepSeek V3.1 the easier model to run on your local setup.

Can I run DeepSeek V3.1 or GLM 5.3 on a 16 GB GPU?

DeepSeek V3.1 does not fit (smallest quant needs 189.7 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).

Which has a longer context window, DeepSeek V3.1 or GLM 5.3?

DeepSeek V3.1 supports 163,840 tokens and GLM 5.3 supports 1,048,576 tokens.